Triple

T2264285
Position Surface form Disambiguated ID Type / Status
Subject Massachusetts coastline E50109 entity
Predicate hasPart P35 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: [Massachusetts coastline, hasPart, Cape Ann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cape Ann
Context triple: [Massachusetts coastline, hasPart, 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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc18ed0708190aa3156e9d35120c3 completed March 7, 2026, 6:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69bdc4fea8fc8190bf99d53fc56d7d39 completed March 20, 2026, 10:06 p.m.
Created at: March 4, 2026, 7:48 p.m.