Triple

T21305390
Position Surface form Disambiguated ID Type / Status
Subject Runway 15/33 E525183 entity
Predicate servesAirportIATA P119918 FINISHED
Object KUL 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: KUL | Statement: [Runway 15/33, servesAirportIATA, KUL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KUL
Context triple: [Runway 15/33, servesAirportIATA, KUL]
  • A. KUL chosen
    KUL is the IATA airport code for Kuala Lumpur International Airport, the main international gateway serving Malaysia’s capital region.
  • B. KUL
    KUL is a prominent Catholic university in Lublin, Poland, known for its strong tradition in the humanities, social sciences, and theology.
  • C. KALU
    KALU is the stock ticker symbol for Kaiser Aluminum Corporation, a U.S.-based producer of semi-fabricated specialty aluminum products.
  • D. KAL
    KAL is the ICAO airline designator used to identify Korean Air in international aviation operations.
  • E. KAL
    KAL is the standard abbreviation used for the Kalamazoo Growlers baseball team.
  • 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_69e0b518b8948190ad69cf9a8784d397 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75aa3f90481909b212bdbf00c2bb0 completed April 21, 2026, 11:08 a.m.
Created at: April 16, 2026, 4:05 p.m.