Triple

T4236195
Position Surface form Disambiguated ID Type / Status
Subject Cotentin Peninsula E94698 entity
Predicate containsTown P847 FINISHED
Object Barneville-Carteret E319548 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: Barneville-Carteret | Statement: [Cotentin Peninsula, containsTown, Barneville-Carteret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barneville-Carteret
Context triple: [Cotentin Peninsula, containsTown, 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. Belmar
    Belmar is a prominent mixed-use shopping, dining, and entertainment district serving as a central urban hub in Lakewood, Colorado.
  • C. Belmar
    Belmar is a popular coastal borough in Monmouth County, New Jersey, known for its sandy beaches, boardwalk, and vibrant summer tourism scene.
  • D. Osterville
    Osterville is a coastal village in the town of Barnstable, Massachusetts, known for its beaches, marinas, and affluent residential character on Cape Cod.
  • E. Carteret, New Jersey
    Carteret, New Jersey is a small industrial and residential borough in Middlesex County known for its location along the Arthur Kill and proximity to major transportation routes in the New York metropolitan area.
  • 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_69b34537cc6481909cd0a96acbb33ef7 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e7422a88190955f5f4347fa80d2 completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a866c2448190aaed83d8da3669b8 completed March 14, 2026, 6:26 p.m.
Created at: March 12, 2026, 11:05 p.m.