Triple

T19735512
Position Surface form Disambiguated ID Type / Status
Subject 302nd Tactical Fighter Squadron E473967 entity
Predicate nickname P55 FINISHED
Object 302 SQ
302 SQ is the nickname of the Japan Air Self-Defense Force’s 302nd Tactical Fighter Squadron, a unit known for operating fighter aircraft such as the F-4EJ and F-35A.
 E1392289 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: 302 SQ | Statement: [302nd Tactical Fighter Squadron, nickname, 302 SQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 302 SQ
Context triple: [302nd Tactical Fighter Squadron, nickname, 302 SQ]
  • A. SQ3
    SQ3 is a designated quadrant within the Southern Cross region, used for organizing and referencing a specific area of the sky.
  • B. SQ22
    SQ22 is Singapore Airlines’ flagship ultra-long-haul nonstop flight operating between Singapore and New York.
  • C. S30
    S30 is the pennant number of HMS Vigilant, a Royal Navy Vanguard-class nuclear-powered ballistic missile submarine.
  • D. 601 SQ
    601 SQ is a military aviation unit designation commonly used for the 601st Squadron in an air force.
  • E. SU30
    SU30 is the ICAO aircraft type designator for the Sukhoi Su-30 family of twin-engine, multirole fighter aircraft.
  • 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: 302 SQ
Triple: [302nd Tactical Fighter Squadron, nickname, 302 SQ]
Generated description
302 SQ is the nickname of the Japan Air Self-Defense Force’s 302nd Tactical Fighter Squadron, a unit known for operating fighter aircraft such as the F-4EJ and F-35A.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 302 SQ
Target entity description: 302 SQ is the nickname of the Japan Air Self-Defense Force’s 302nd Tactical Fighter Squadron, a unit known for operating fighter aircraft such as the F-4EJ and F-35A.
  • A. SQ3
    SQ3 is a designated quadrant within the Southern Cross region, used for organizing and referencing a specific area of the sky.
  • B. SQ22
    SQ22 is Singapore Airlines’ flagship ultra-long-haul nonstop flight operating between Singapore and New York.
  • C. S30
    S30 is the pennant number of HMS Vigilant, a Royal Navy Vanguard-class nuclear-powered ballistic missile submarine.
  • D. 601 SQ
    601 SQ is a military aviation unit designation commonly used for the 601st Squadron in an air force.
  • E. SU30
    SU30 is the ICAO aircraft type designator for the Sukhoi Su-30 family of twin-engine, multirole fighter aircraft.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6515d138c8190a4c4d112ed5756a3 completed April 20, 2026, 4:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07b4f70bd08190b3df6e94404c23ff completed May 16, 2026, 12:06 a.m.
NEDg Description generation batch_6a07b5c7a0348190b06f5300c89f0548 completed May 16, 2026, 12:09 a.m.
NED2 Entity disambiguation (via description) batch_6a07b655722c8190be1b30d1e276c580 completed May 16, 2026, 12:12 a.m.
Created at: April 10, 2026, 1:47 p.m.