Triple
T11843580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fritz X |
E281715
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object |
Ruhrstahl
Ruhrstahl was a German armaments manufacturer best known for producing advanced World War II munitions and guided weapons.
|
E949232
|
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: Ruhrstahl | Statement: [Fritz X, manufacturer, Ruhrstahl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruhrstahl Context triple: [Fritz X, manufacturer, Ruhrstahl]
-
A.
Oerlikon
Oerlikon is a district in the north of Zurich, Switzerland, known as a major residential, commercial, and transportation hub of the city.
-
B.
Steyr
Steyr is a historic industrial city in northern Austria known for its well-preserved old town and long tradition of metalworking and manufacturing.
-
C.
Rheinmetall
Rheinmetall is a major German defense and automotive company best known for producing advanced military technologies, including the main armament and systems for modern battle tanks.
-
D.
Diehl
Diehl is the middle name of Newton D. Baker, an American lawyer and politician who served as U.S. Secretary of War during World War I.
-
E.
Siemens-Schuckertwerke
Siemens-Schuckertwerke was a major German electrical engineering and manufacturing company that formed part of the Siemens group and played a key role in industrial and urban development in early 20th-century Germany.
- 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: Ruhrstahl Triple: [Fritz X, manufacturer, Ruhrstahl]
Generated description
Ruhrstahl was a German armaments manufacturer best known for producing advanced World War II munitions and guided weapons.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ruhrstahl Target entity description: Ruhrstahl was a German armaments manufacturer best known for producing advanced World War II munitions and guided weapons.
-
A.
Oerlikon
Oerlikon is a district in the north of Zurich, Switzerland, known as a major residential, commercial, and transportation hub of the city.
-
B.
Steyr
Steyr is a historic industrial city in northern Austria known for its well-preserved old town and long tradition of metalworking and manufacturing.
-
C.
Rheinmetall
Rheinmetall is a major German defense and automotive company best known for producing advanced military technologies, including the main armament and systems for modern battle tanks.
-
D.
Diehl
Diehl is the middle name of Newton D. Baker, an American lawyer and politician who served as U.S. Secretary of War during World War I.
-
E.
Siemens-Schuckertwerke
Siemens-Schuckertwerke was a major German electrical engineering and manufacturing company that formed part of the Siemens group and played a key role in industrial and urban development in early 20th-century Germany.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a65a597c8190b09f57463b279afc |
completed | April 10, 2026, 7:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1679729c08190a9f6750586f90d8d |
completed | April 29, 2026, 2:06 a.m. |
| NEDg | Description generation | batch_69f17005c318819090e54bc64d135477 |
completed | April 29, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f17814de1881908973af026af5d1d1 |
completed | April 29, 2026, 3:16 a.m. |
Created at: April 8, 2026, 9:43 p.m.