Triple
T14128270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 20th Panzer Division |
E340089
|
entity |
| Predicate | formedFrom |
P402
|
FINISHED |
| Object |
19th Infantry Division mapping detachment
The 19th Infantry Division mapping detachment was a specialized German Army cartographic and reconnaissance unit whose personnel and resources were used as the nucleus for forming the 20th Panzer Division during World War II.
|
E1082224
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 19th Infantry Division mapping detachment | Statement: [20th Panzer Division, formedFrom, 19th Infantry Division mapping detachment]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 19th Infantry Division mapping detachment Context triple: [20th Panzer Division, formedFrom, 19th Infantry Division mapping detachment]
-
A.
297th Military Intelligence Battalion
The 297th Military Intelligence Battalion is a U.S. Army unit that conducts intelligence collection, analysis, and support operations as part of the Army’s broader military intelligence structure.
-
B.
309th Military Intelligence Battalion
The 309th Military Intelligence Battalion is a U.S. Army unit that trains soldiers in military intelligence skills as part of the Army’s intelligence training enterprise.
-
C.
224th Military Intelligence Battalion
The 224th Military Intelligence Battalion is a U.S. Army unit specializing in intelligence collection, analysis, and support to military operations.
-
D.
149th Attack-Reconnaissance Battalion
The 149th Attack-Reconnaissance Battalion is a Texas Army National Guard aviation unit specializing in armed reconnaissance and attack helicopter operations.
-
E.
9th Infantry Division Pasubio
The 9th Infantry Division Pasubio was an Italian Army infantry division that served prominently on the Eastern Front during World War II as part of the Italian Expeditionary Corps in Russia.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 19th Infantry Division mapping detachment Triple: [20th Panzer Division, formedFrom, 19th Infantry Division mapping detachment]
Generated description
The 19th Infantry Division mapping detachment was a specialized German Army cartographic and reconnaissance unit whose personnel and resources were used as the nucleus for forming the 20th Panzer Division during World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 19th Infantry Division mapping detachment Target entity description: The 19th Infantry Division mapping detachment was a specialized German Army cartographic and reconnaissance unit whose personnel and resources were used as the nucleus for forming the 20th Panzer Division during World War II.
-
A.
297th Military Intelligence Battalion
The 297th Military Intelligence Battalion is a U.S. Army unit that conducts intelligence collection, analysis, and support operations as part of the Army’s broader military intelligence structure.
-
B.
309th Military Intelligence Battalion
The 309th Military Intelligence Battalion is a U.S. Army unit that trains soldiers in military intelligence skills as part of the Army’s intelligence training enterprise.
-
C.
224th Military Intelligence Battalion
The 224th Military Intelligence Battalion is a U.S. Army unit specializing in intelligence collection, analysis, and support to military operations.
-
D.
149th Attack-Reconnaissance Battalion
The 149th Attack-Reconnaissance Battalion is a Texas Army National Guard aviation unit specializing in armed reconnaissance and attack helicopter operations.
-
E.
9th Infantry Division Pasubio
The 9th Infantry Division Pasubio was an Italian Army infantry division that served prominently on the Eastern Front during World War II as part of the Italian Expeditionary Corps in Russia.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de6098013c8190b1bac9d3fff60acd |
completed | April 14, 2026, 3:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf0ed0a88190a7126887364fccdd |
completed | May 7, 2026, 6:50 p.m. |
| NEDg | Description generation | batch_69fce0cc78e881909090ac42a97ebb12 |
completed | May 7, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fce1f53a8881909fd1258729a9879d |
completed | May 7, 2026, 7:03 p.m. |
Created at: April 9, 2026, 10:22 p.m.