Triple

T12088102
Position Surface form Disambiguated ID Type / Status
Subject New Jersey Shore E287862 entity
Predicate hasPart P35 FINISHED
Object Asbury Park E136489 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: Asbury Park | Statement: [New Jersey Shore, hasPart, Asbury Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asbury Park
Context triple: [New Jersey Shore, hasPart, Asbury Park]
  • A. Asbury Park chosen
    Asbury Park is a historic New Jersey seaside city known for its boardwalk, live music scene, and role in the development of artists like Bruce Springsteen.
  • B. Seaside Park
    Seaside Park is a small coastal borough and popular beach community located along the Jersey Shore in New Jersey.
  • C. Seaside Park
    Seaside Park is a historic waterfront public park in Bridgeport, Connecticut, known for its beaches, promenades, and views of Long Island Sound.
  • D. Point Pleasant Beach
    Point Pleasant Beach is a popular New Jersey coastal resort town known for its sandy beaches, lively boardwalk, and family-friendly attractions along the Jersey Shore.
  • E. Seaside Heights
    Seaside Heights is a popular New Jersey beach town and boardwalk resort known for its lively nightlife, amusement rides, and role in the reality TV show "Jersey Shore."
  • 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_69d91514c78c8190bc1cd569e524e8b4 completed April 10, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f66b2eb48190bae469d1dd82b119 completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.