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.