Triple

T12088113
Position Surface form Disambiguated ID Type / Status
Subject New Jersey Shore E287862 entity
Predicate hasPart P35 FINISHED
Object Sea Isle City E146501 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: Sea Isle City | Statement: [New Jersey Shore, hasPart, Sea Isle City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sea Isle City
Context triple: [New Jersey Shore, hasPart, Sea Isle City]
  • A. Sea Isle City chosen
    Sea Isle City is a coastal resort town on the Jersey Shore in New Jersey, known for its beaches, promenade, and seasonal tourism.
  • B. Oceanport
    Oceanport is a small borough in Monmouth County, New Jersey, known for its residential character and proximity to the Jersey Shore.
  • C. Oceanport, New Jersey
    Oceanport, New Jersey is a small Monmouth County borough on the Jersey Shore known for its residential character and the Monmouth Park Racetrack.
  • D. Stone Harbor
    Stone Harbor is a small, upscale seaside resort town on the southern New Jersey coast known for its beaches, bird sanctuary, and family-oriented vacation atmosphere.
  • E. North Haven
    North Haven is a coastal town in New South Wales, Australia, known for its beaches and relaxed seaside lifestyle.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915161f848190a6355c1e372eadaa completed April 10, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a6d74888190aab150f1ceb2e9f1 completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:48 p.m.