Triple

T8040171
Position Surface form Disambiguated ID Type / Status
Subject Madam Brett Park E187416 entity
Predicate city P40 FINISHED
Object Beacon E15760 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: Beacon | Statement: [Madam Brett Park, city, Beacon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beacon
Context triple: [Madam Brett Park, city, Beacon]
  • A. Beacon chosen
    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.
  • B. Beacons
    The Beacons are the athletic teams representing the University of Massachusetts Boston in intercollegiate sports.
  • C. The Beacon
    The Beacon is a prominent summit in the Simonside Hills of Northumberland, England, known for its panoramic views and popularity with hikers.
  • D. The Beacon
    The Beacon is a prominent hill on the Gower Peninsula in Wales, known for its elevated views over the surrounding coastline and countryside.
  • E. Baldwinne
    Baldwinne is an alternative historical or variant spelling of the given name Baldwin, which is of Germanic origin and borne by several medieval European nobles and rulers.
  • 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_69ca82b00cb48190b59a300f70e97bd7 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f1d62c48190bf4a6cd17517c5dc completed March 31, 2026, 3:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc570090a48190b84ba8325563148e completed March 31, 2026, 11:21 p.m.
Created at: March 30, 2026, 5:23 p.m.