Triple

T7984130
Position Surface form Disambiguated ID Type / Status
Subject Hong Kong Time E185646 entity
Predicate standardAbbreviation P43 FINISHED
Object HKT E617908 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: HKT | Statement: [Hong Kong Time, standardAbbreviation, HKT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HKT
Context triple: [Hong Kong Time, standardAbbreviation, HKT]
  • A. HKT chosen
    HKT is the IATA airport code for Phuket International Airport, the main air gateway to Thailand’s popular island of Phuket.
  • B. KHiO
    KHiO is Norway’s largest public institution for higher education in the visual and performing arts, located in Oslo.
  • C. HKY
    HKY is the three-letter IATA airport code for Hickory Regional Airport in Hickory, North Carolina, USA.
  • D. Handai
    Handai is the common Japanese abbreviation for Osaka University, a leading national research university based in Osaka, Japan.
  • E. HTKA
    HTKA is the ICAO airport code for Kigoma Airport in Tanzania.
  • 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_69ca829a2cfc819083d591d58ec04075 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c2b543c81909b82bc478d579e0b completed March 31, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0e0b2748190930c22c6157d1b07 completed March 31, 2026, 2:57 p.m.
Created at: March 30, 2026, 5:15 p.m.