Triple

T4257966
Position Surface form Disambiguated ID Type / Status
Subject Gloucester, Massachusetts E96026 entity
Predicate hasRegion P285 FINISHED
Object Cape Ann E33342 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: Cape Ann | Statement: [Gloucester, Massachusetts, hasRegion, Cape Ann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cape Ann
Context triple: [Gloucester, Massachusetts, hasRegion, Cape Ann]
  • A. Cape Ann chosen
    Cape Ann is a rocky peninsula on the northeastern coast of Massachusetts known for its historic fishing communities, maritime heritage, and scenic New England coastline.
  • B. Rockland
    Rockland is a small suburban town in Plymouth County, Massachusetts, known for its residential character and proximity to Boston.
  • C. Nahant
    Nahant is a small coastal town in Massachusetts known for its rocky shoreline and peninsula extending into the Atlantic Ocean.
  • D. Cotuit
    Cotuit is a seaside village on Cape Cod in the town of Barnstable, Massachusetts, known for its historic character and shellfishing heritage.
  • E. Seekonk
    Seekonk is a suburban town in Bristol County, Massachusetts, located just east of Providence, Rhode Island.
  • 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_69b3454095ac81909c2494f7ff294af1 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34f7ec4508190a5067f1112ac7dca completed March 12, 2026, 11:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa0121b48190899cb4be8b87a93b completed March 21, 2026, 1:53 a.m.
Created at: March 12, 2026, 11:06 p.m.