Triple

T17425410
Position Surface form Disambiguated ID Type / Status
Subject Cap de Carteret E423725 entity
Predicate partOf P40 FINISHED
Object Barneville-Carteret NE NERFINISHED

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: Barneville-Carteret | Statement: [Cap de Carteret, partOf, Barneville-Carteret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barneville-Carteret
Context triple: [Cap de Carteret, partOf, Barneville-Carteret]
  • A. Barneville-Carteret chosen
    Barneville-Carteret is a coastal commune and seaside resort in northwestern France, known for its beaches, marina, and views across the English Channel.
  • B. Mays Landing
    Mays Landing is an unincorporated community and census-designated place in New Jersey that serves as the administrative and historic center of Atlantic County.
  • C. Belmar
    Belmar is a prominent mixed-use shopping, dining, and entertainment district serving as a central urban hub in Lakewood, Colorado.
  • D. Belmar
    Belmar is a popular coastal borough in Monmouth County, New Jersey, known for its sandy beaches, boardwalk, and vibrant summer tourism scene.
  • E. Osterville
    Osterville is a coastal village in the town of Barnstable, Massachusetts, known for its beaches, marinas, and affluent residential character on Cape Cod.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e448fbfda88190be1c001d64289bf7 completed April 19, 2026, 3:16 a.m.
Created at: April 10, 2026, 5:46 a.m.