Triple

T17011352
Position Surface form Disambiguated ID Type / Status
Subject EFHK E412707 entity
Predicate hasICAOCode P419 FINISHED
Object EFHK E412707 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: EFHK | Statement: [EFHK, hasICAOCode, EFHK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EFHK
Context triple: [EFHK, hasICAOCode, EFHK]
  • A. EFHK chosen
    EFHK is the ICAO airport code for Helsinki Airport, the main international gateway to Finland located near the capital city.
  • B. NHF
    NHF is the abbreviation for the National Historic Fleet, a register of historically significant vessels in the United Kingdom.
  • C. NHF
    NHF is the Norwegian Handball Federation, the national governing body responsible for organizing and overseeing handball in Norway, including the Norway men's national handball team.
  • D. IHF
    IHF is the commonly used abbreviation for the International Handball Federation, the global governing body for the sport of handball.
  • E. NLHF
    NLHF is the UK’s largest dedicated funder of heritage projects, supporting the conservation and celebration of historic places, natural landscapes, and cultural traditions using money raised by the National Lottery.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d47bcb508190a799f0bad6b70245 completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc241ec88190a3e868ab88b26f09 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:33 a.m.