Triple

T3792806
Position Surface form Disambiguated ID Type / Status
Subject Bridgeport E89696 entity
Predicate hasPark P105 FINISHED
Object Seaside Park E142359 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: Seaside Park | Statement: [Bridgeport, hasPark, Seaside Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seaside Park
Context triple: [Bridgeport, hasPark, Seaside Park]
  • A. Seaside Park chosen
    Seaside Park is a small coastal borough and popular beach community located along the Jersey Shore in New Jersey.
  • B. 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.
  • C. 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."
  • D. Asbury Park
    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.
  • E. Lavallette
    Lavallette is a small seaside borough in Ocean County, New Jersey, known for its family-friendly beaches and classic Jersey Shore boardwalk-town atmosphere.
  • 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_69aed9597d6881909b6ee3b9de859223 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee769d68081908dcdd3d232dbb61c completed March 9, 2026, 3:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f058f03881909aded87e7a74849f completed March 14, 2026, 5:21 a.m.
Created at: March 9, 2026, 3:15 p.m.