Triple

T15524067
Position Surface form Disambiguated ID Type / Status
Subject Northwestern Fire Department E369038 entity
Predicate hasAbbreviation P43 FINISHED
Object NWFD E369038 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: NWFD | Statement: [Northwestern Fire Department, hasAbbreviation, NWFD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NWFD
Context triple: [Northwestern Fire Department, hasAbbreviation, NWFD]
  • A. NWFD chosen
    NWFD is the commonly used abbreviation for the Northwestern Fire Department, a regional firefighting and emergency response agency.
  • B. NWR
    NWR is the commonly used abbreviation for the North Western Railway, a major railway zone of Indian Railways headquartered in Jaipur.
  • C. NWR
    NWR is the U.S. nationwide network of NOAA-operated radio stations that continuously broadcast weather forecasts, warnings, and emergency information.
  • D. NW
    NW is an abbreviation used as a vehicle registration code associated with the German federal state of North Rhine-Westphalia.
  • E. NW
    NW is a 2012 novel by British author Zadie Smith that explores the intersecting lives of residents in northwest London, examining themes of class, race, and identity.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04143bda08190a2dee44918c1ad1c completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d5706948190a1c0f466f7ef8857 completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 4:05 a.m.