Triple

T22019471
Position Surface form Disambiguated ID Type / Status
Subject Utila Airport E543801 entity
Predicate hasICAOCode P419 FINISHED
Object MHUT 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: MHUT | Statement: [Utila Airport, hasICAOCode, MHUT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MHUT
Context triple: [Utila Airport, hasICAOCode, MHUT]
  • A. MHUT chosen
    MHUT is the ICAO airport code assigned to Utrik Airport in the Marshall Islands.
  • B. MUH
    MUH is the IATA airport code for Marsa Matruh International Airport, which serves the coastal city of Mersa Matruh in Egypt.
  • C. MHT
    MHT is the IATA airport code for Manchester–Boston Regional Airport, a commercial airport serving the Manchester, New Hampshire area and the greater Boston region.
  • D. HMU
    HMU is the commonly used abbreviation for the Hellenic Mediterranean University, a higher education institution in Greece.
  • E. MH
    MH is the two-letter ISO 3166-1 alpha-2 country code representing the Republic of the Marshall Islands.
  • 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127c6b5fc8190bc49ddb058f28a44 completed April 28, 2026, 9:33 p.m.
Created at: April 16, 2026, 8:23 p.m.