Triple

T15605509
Position Surface form Disambiguated ID Type / Status
Subject Sister Bay, Wisconsin E375149 entity
Predicate knownFor P22 FINISHED
Object harborfront park E715099 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: harborfront park | Statement: [Sister Bay, Wisconsin, knownFor, harborfront park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: harborfront park
Context triple: [Sister Bay, Wisconsin, knownFor, harborfront park]
  • A. Harborfront Park chosen
    Harborfront Park is a scenic waterfront public park in Port Jefferson, New York, known for its harbor views, walking paths, and community events.
  • B. Harbor Park
    Harbor Park is a public riverfront park and recreation area along the Connecticut River in Middletown, Connecticut.
  • C. Harbor Park
    Harbor Park is a waterfront baseball stadium in Norfolk, Virginia, best known as the longtime home of the city’s minor league baseball team.
  • D. Harbor View Park
    Harbor View Park is a scenic public park in Yokohama’s Yamate district known for its panoramic views over the city and harbor.
  • E. Harborcenter
    Harborcenter is a mixed-use hockey and entertainment complex in downtown Buffalo, New York, featuring ice rinks, a hotel, restaurants, and training facilities.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e7d9328819090e93d55881269a5 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56d3541c8190a5a2aa9730260562 completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:12 a.m.