Triple

T14226693
Position Surface form Disambiguated ID Type / Status
Subject Terminal 3C E352637 entity
Predicate locatedAtAirport P15259 FINISHED
Object PEK E66112 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: PEK | Statement: [Terminal 3C, locatedAtAirport, PEK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PEK
Context triple: [Terminal 3C, locatedAtAirport, PEK]
  • A. PEK chosen
    PEK is the IATA airport code for Beijing Capital International Airport, one of the busiest and largest aviation hubs in China and the world.
  • B. Pekar
    Pekar is a surname of Central or Eastern European origin, notably associated with several cultural and artistic figures.
  • C. Peket
    Peket is a traditional juniper-flavored spirit from the Liège region of Belgium, often enjoyed as a local specialty at festivals and bars.
  • D. Pekat
    Pekat is a settlement on the Indonesian island of Sumbawa that was devastated by the catastrophic 1815 eruption of Mount Tambora.
  • E. Peketa
    Peketa is a small coastal settlement in New Zealand’s South Island, located just south of the town of Kaikōura.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6228e53c8190abbe4e2d88a7362a completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d0e6abc819097c0c9bdc08387f6 completed May 8, 2026, 1:31 a.m.
Created at: April 10, 2026, 1:07 a.m.