Triple
T3983194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J4 Logistics Directorate |
E86807
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
J-4
J-4 is the logistics directorate within a joint military staff responsible for planning, coordinating, and overseeing logistics and sustainment operations.
|
E404014
|
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: J-4 | Statement: [J4 Logistics Directorate, hasAbbreviation, J-4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: J-4 Context triple: [J4 Logistics Directorate, hasAbbreviation, J-4]
-
A.
J80
J80 is the internal chassis code used by Toyota for the 80-series Land Cruiser platform that underpins the first-generation Lexus LX luxury SUV.
-
B.
TA-4J
The TA-4J is a two-seat, trainer version of the Douglas A-4 Skyhawk used primarily by the U.S. Navy and Marine Corps for advanced jet and carrier training.
-
C.
M-45
M-45 is a state highway in Michigan that runs east–west through the Grand Rapids area toward the Lake Michigan shoreline.
-
D.
JG 52
JG 52 was a famed Luftwaffe fighter wing of World War II, notable for including many of Germany’s highest-scoring fighter aces.
-
E.
Swift F.4
The Swift F.4 was a later, improved fighter variant of the British Supermarine Swift jet, featuring enhanced performance and handling over earlier models.
- 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: J-4 Triple: [J4 Logistics Directorate, hasAbbreviation, J-4]
Generated description
J-4 is the logistics directorate within a joint military staff responsible for planning, coordinating, and overseeing logistics and sustainment operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: J-4 Target entity description: J-4 is the logistics directorate within a joint military staff responsible for planning, coordinating, and overseeing logistics and sustainment operations.
-
A.
J80
J80 is the internal chassis code used by Toyota for the 80-series Land Cruiser platform that underpins the first-generation Lexus LX luxury SUV.
-
B.
TA-4J
The TA-4J is a two-seat, trainer version of the Douglas A-4 Skyhawk used primarily by the U.S. Navy and Marine Corps for advanced jet and carrier training.
-
C.
M-45
M-45 is a state highway in Michigan that runs east–west through the Grand Rapids area toward the Lake Michigan shoreline.
-
D.
JG 52
JG 52 was a famed Luftwaffe fighter wing of World War II, notable for including many of Germany’s highest-scoring fighter aces.
-
E.
Swift F.4
The Swift F.4 was a later, improved fighter variant of the British Supermarine Swift jet, featuring enhanced performance and handling over earlier models.
- 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_69aed93fd9d4819085d3b2137d2346cb |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9dd351c81909605bc2605f541e1 |
completed | March 9, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b540257c188190899b00bf1d0247d2 |
completed | March 14, 2026, 11:01 a.m. |
| NEDg | Description generation | batch_69b54111e5188190ab8ec23124c22981 |
completed | March 14, 2026, 11:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b54195261c8190a155b3c0469b0a35 |
completed | March 14, 2026, 11:08 a.m. |
Created at: March 9, 2026, 3:33 p.m.