Triple

T22227025
Position Surface form Disambiguated ID Type / Status
Subject IQT E549365 entity
Predicate associatedWithICAOCode P419 FINISHED
Object SPQT NE NERFINISHED

How this triple was built (2 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: SPQT | Statement: [IQT, associatedWithICAOCode, SPQT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SPQT
Context triple: [IQT, associatedWithICAOCode, SPQT]
  • A. SPQT chosen
    SPQT is the ICAO airport code for Coronel FAP Francisco Secada Vignetta International Airport in Iquitos, Peru.
  • B. SPQU
    SPQU is the ICAO airport code for Rodríguez Ballón International Airport, the main airport serving Arequipa, Peru.
  • C. SQT
    SQT is the intensive advanced training course that prepares U.S. Navy SEAL candidates for operational deployment after completing Basic Underwater Demolition/SEAL (BUD/S) training.
  • D. QSQT
    QSQT is a landmark 1988 Hindi romantic drama film starring Aamir Khan and Juhi Chawla that helped redefine Bollywood romance for a new generation.
  • E. SQQ
    SQQ is the IATA airport code for Šiauliai International Airport, a joint civil-military airfield in Šiauliai, Lithuania.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e403d6481909a94d0aaf157f6ef completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12befe38c8190b547586e41b099b1 completed April 28, 2026, 9:51 p.m.
Created at: April 16, 2026, 8:37 p.m.