Triple

T5605210
Position Surface form Disambiguated ID Type / Status
Subject Fan y Big E147216 entity
Predicate partOf P40 FINISHED
Object Central Beacons E527866 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: Central Beacons | Statement: [Fan y Big, partOf, Central Beacons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Beacons
Context triple: [Fan y Big, partOf, Central Beacons]
  • A. Central Beacons chosen
    Central Beacons is a prominent upland area within the Brecon Beacons of South Wales, known for its high peaks, open moorland, and extensive panoramic views.
  • B. Beacons
    The Beacons are the athletic teams representing the University of Massachusetts Boston in intercollegiate sports.
  • C. Beacon
    Beacon is a small Hudson River city in New York State known for its vibrant arts scene, historic industrial roots, and the contemporary art museum Dia Beacon.
  • D. South Satellite
    South Satellite is an international-focused concourse at Seattle–Tacoma International Airport that primarily serves long-haul and overseas flights.
  • E. Centre
    Centre was the former name of the administrative region in central France now known as Centre-Val de Loire.
  • 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_69c0090500f881908374285baf0ac46f completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020fa4b0881909fdbb8ea38eeb5e3 completed March 22, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c097c85fa481909dc6dcfccce8efa8 completed March 23, 2026, 1:30 a.m.
Created at: March 22, 2026, 3:39 p.m.