Triple

T1305402
Position Surface form Disambiguated ID Type / Status
Subject Speke Airport E27863 entity
Predicate ICAOcode P419 FINISHED
Object EGGP E27862 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: EGGP | Statement: [Speke Airport, ICAOcode, EGGP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EGGP
Context triple: [Speke Airport, ICAOcode, EGGP]
  • A. EGGP chosen
    EGGP is the ICAO airport code for Liverpool John Lennon Airport in Liverpool, England.
  • B. EGGW
    EGGW is the ICAO airport code for London Luton Airport, a major international airport serving the London area in the United Kingdom.
  • C. Big Egg
    Big Egg is the popular nickname for the Tokyo Dome, a large indoor baseball stadium in Tokyo that hosts the Yomiuri Giants and major sporting and entertainment events.
  • D. The Egg
    The Egg is an iconic, egg-shaped performing arts venue in Albany, New York, known for its distinctive modernist architecture and role as a cultural center.
  • E. The Egg
    The Egg is a modern, student-centered dining and learning facility at the Culinary Institute of America’s Hyde Park campus that showcases culinary education in a real-world restaurant environment.
  • 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_69a496d7d83481908f83085854e51328 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c13524d481909e8f5bb2ab91f6e4 completed March 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb306e3cc8190997cda8aaedbcebb completed March 7, 2026, 11:21 p.m.
Created at: March 1, 2026, 7:51 p.m.