Triple

T14430574
Position Surface form Disambiguated ID Type / Status
Subject Runway 13R/31L E357815 entity
Predicate hasIataAirportCode P2569 FINISHED
Object BOG E52196 NE FINISHED

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: BOG | Statement: [Runway 13R/31L, hasIataAirportCode, BOG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BOG
Context triple: [Runway 13R/31L, hasIataAirportCode, BOG]
  • A. BOG
    BOG is the vehicle registration code used for motor vehicles registered in the Capital District of Bogotá, Colombia.
  • B. BOG chosen
    BOG is the IATA airport code for El Dorado International Airport, the main international gateway serving Bogotá, Colombia.
  • C. BOG
    BOG is the commonly used acronym for the Florida Board of Governors, the governing body overseeing the State University System of Florida.
  • D. BOG
    BOG is the three-letter National Rail station code for Bognor Regis railway station in West Sussex, England.
  • E. BoG
    BoG is the central bank of Guyana, responsible for issuing the national currency and overseeing the country’s monetary and financial stability.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de914570f08190b1c7c1c57a0cb476 completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bd3e6c48190b4fc3794202a0c3f completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:18 a.m.