Triple

T10617033
Position Surface form Disambiguated ID Type / Status
Subject Hector International Airport E276146 entity
Predicate FAAcode P420 FINISHED
Object FAR E876081 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: FAR | Statement: [Hector International Airport, FAAcode, FAR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FAR
Context triple: [Hector International Airport, FAAcode, FAR]
  • A. FAR
    FAR is the acronym for Cuba’s national military organization, the Revolutionary Armed Forces.
  • B. FAR
    FAR is the commonly used abbreviation for the Intergovernmental Panel on Climate Change’s First Assessment Report, a foundational scientific evaluation of climate change published in 1990.
  • C. FAR
    FAR is the station code for Faro railway station, a key rail transport hub serving the city of Faro in southern Portugal’s Algarve region.
  • D. FAR
    FAR is the acronym for Morocco's Royal Armed Forces, the country's unified military organization responsible for national defense.
  • E. FAR chosen
    FAR is the IATA airport code for Hector International Airport serving Fargo, North Dakota.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df6e2df4819099a19b59d90d0dd1 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a2c8a048190b9a62f1c68ac217a completed April 10, 2026, 10:31 p.m.
Created at: April 8, 2026, 7:33 p.m.