Triple

T5524971
Position Surface form Disambiguated ID Type / Status
Subject EGGW E144900 entity
Predicate ICAOcode P419 FINISHED
Object EGGW E144900 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: EGGW | Statement: [EGGW, ICAOcode, EGGW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EGGW
Context triple: [EGGW, ICAOcode, EGGW]
  • A. EGGW chosen
    EGGW is the ICAO airport code for London Luton Airport, a major international airport serving the London area in the United Kingdom.
  • B. EGGP
    EGGP is the ICAO airport code for Liverpool John Lennon Airport in Liverpool, England.
  • C. EGGZ
    EGGZ is the UN/LOCODE designation for the Giza Governorate region in Egypt, used in international trade and transport logistics.
  • D. EGEL
    EGEL is the ICAO airport code for Coll Airport, a small airfield serving the island of Coll in Scotland.
  • E. EGKK
    EGKK is the ICAO airport code for London Gatwick Airport, a major international airport serving the London metropolitan area in the United Kingdom.
  • 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_69c008f873a481909b4d9f7e2db3c37d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f874bd081909cccfc25767ee6fa completed March 22, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027fa22108190b55c07fe930ca4f1 completed March 22, 2026, 5:33 p.m.
Created at: March 22, 2026, 3:34 p.m.