Triple

T23265250
Position Surface form Disambiguated ID Type / Status
Subject Japan Airlines First Class Lounge E588128 entity
Predicate airportCodeServed P17503 FINISHED
Object NRT 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: NRT | Statement: [Japan Airlines First Class Lounge, airportCodeServed, NRT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NRT
Context triple: [Japan Airlines First Class Lounge, airportCodeServed, NRT]
  • A. NRT chosen
    NRT is the three-letter IATA airport code for Narita International Airport, a major international gateway serving the Tokyo metropolitan area in Japan.
  • B. NRT
    NRT is a U.S. federal interagency group that coordinates national-level preparedness and response to major oil and hazardous substance pollution incidents.
  • C. RNT
    RNT is the IATA airport code for Renton Municipal Airport, a public airport serving the city of Renton in Washington State, USA.
  • D. NR
    NR is the two-letter ISO 3166-1 alpha-2 country code assigned to the Republic of Nauru.
  • E. NR
    NR is the common abbreviation for New Relic, a cloud-based observability and application performance monitoring platform used by developers and IT operations teams.
  • 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_69e25d148adc819088efbf42672604e9 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f194cc3b908190aaefd036aa2b52b5 completed April 29, 2026, 5:19 a.m.
Created at: April 17, 2026, 4:34 p.m.