Triple

T15923998
Position Surface form Disambiguated ID Type / Status
Subject Federation of the Swiss Watch Industry FH E386160 entity
Predicate hasAbbreviation P43 FINISHED
Object FH E363280 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: FH | Statement: [Federation of the Swiss Watch Industry FH, hasAbbreviation, FH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FH
Context triple: [Federation of the Swiss Watch Industry FH, hasAbbreviation, FH]
  • A. FH chosen
    FH is the vehicle registration code used on license plates for the emirate of Fujairah in the United Arab Emirates.
  • B. FHU
    FHU is the national governing body responsible for overseeing and developing ice hockey in Ukraine.
  • C. FHU
    FHU is the IATA airport code for Libby Army Airfield, a joint-use military and civilian airport serving the Fort Huachuca area in Arizona, United States.
  • D. FAH
    FAH is the acronym for the Honduran Air Force, the aerial warfare branch of Honduras’s armed forces.
  • E. FNH
    FNH is the National Rail station code for Farnham railway station in Surrey, England.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1568424f08190bffe6ee465a0db9a completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5aba70c8190a74c45bce6f9b782 completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:52 a.m.