Triple

T10682618
Position Surface form Disambiguated ID Type / Status
Subject San Francisco park system E251793 entity
Predicate hasPart P35 FINISHED
Object Marina Green E166196 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: Marina Green | Statement: [San Francisco park system, hasPart, Marina Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marina Green
Context triple: [San Francisco park system, hasPart, Marina Green]
  • A. Marina Green chosen
    Marina Green is a large waterfront park and open lawn in San Francisco’s Marina District, popular for recreation, events, and scenic views of the Golden Gate Bridge and the bay.
  • B. Marina Park
    Marina Park is a popular waterfront public park in downtown Kirkland, Washington, featuring open green space, lake access, and scenic views of Lake Washington.
  • C. Marina Park
    Marina Park is a waterfront public park in Richmond, California, offering open green space, bay views, and recreational amenities along Marina Bay.
  • D. Marina Park
    Marina Park is a waterfront recreational park in San Leandro, California, featuring open green spaces, walking paths, and views of the San Francisco Bay.
  • E. Waterplace Park
    Waterplace Park is an urban waterfront park and riverwalk in downtown Providence, Rhode Island, known for its amphitheater, Venetian-style bridges, and role as the centerpiece of the WaterFire art installation.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fcc43b9481908f35490db93db76c completed April 9, 2026, 1:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d998c6fb4881908a8e13912c405ec8 completed April 11, 2026, 12:41 a.m.
Created at: April 8, 2026, 9:10 p.m.