Triple

T10796367
Position Surface form Disambiguated ID Type / Status
Subject Kai Tak Airport E254717 entity
Predicate ICAOcode P419 FINISHED
Object VHHH E246646 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: VHHH | Statement: [Kai Tak Airport, ICAOcode, VHHH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VHHH
Context triple: [Kai Tak Airport, ICAOcode, VHHH]
  • A. VHHH chosen
    VHHH is the ICAO airport code for Hong Kong International Airport, a major global aviation hub located on Chek Lap Kok Island in Hong Kong.
  • B. UHHH
    UHHH is the ICAO airport code for Khabarovsk Novy Airport in Khabarovsk, Russia.
  • C. H4H
    H4H is a U.S. federal mortgage relief initiative designed to help struggling homeowners refinance into more affordable, government-insured loans.
  • D. VAAH
    VAAH is the ICAO airport code for Sardar Vallabhbhai Patel International Airport serving Ahmedabad in the Indian state of Gujarat.
  • E. HHR
    HHR is the IATA airport code for Hawthorne Municipal Airport, a public airport serving the city of Hawthorne in Los Angeles County, California.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d73332dbfc8190904434846957b618 completed April 9, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69de5654e2c48190a8f078b8164707e2 completed April 14, 2026, 2:59 p.m.
Created at: April 8, 2026, 9:17 p.m.