Triple

T4656154
Position Surface form Disambiguated ID Type / Status
Subject Daphne E102413 entity
Predicate hasPark P105 FINISHED
Object Bayfront Park unclear NED1 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: Bayfront Park | Statement: [Daphne, hasPark, Bayfront Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bayfront Park
Context triple: [Daphne, hasPark, Bayfront Park]
  • A. Bayfront Park
    Bayfront Park is a waterfront recreational park in Hamilton, Ontario, known for its trails, green spaces, and views of Hamilton Harbour.
  • B. Bayfront Park
    Bayfront Park is a waterfront public park in Sarasota, Florida, known for its marina, scenic views of Sarasota Bay, and recreational amenities.
  • C. Bayfront Park
    Bayfront Park is a large waterfront public park in downtown Miami known for its open green spaces, bayside views, and frequent concerts and cultural events.
  • D. Bayfront Park
    Bayfront Park is a waterfront recreational area in Petoskey, Michigan, known for its scenic views of Little Traverse Bay, walking paths, and outdoor activities.
  • E. Fort De Soto Park
    Fort De Soto Park is a popular coastal park in Florida known for its historic fort, white-sand beaches, fishing piers, and wildlife-rich natural areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69bd43d823288190952279faa0d1d066 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd63193a108190a7d9aec1d1d40cf8 completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfaf28c148190b46cf846528034c5 completed March 21, 2026, 1:57 a.m.
Created at: March 20, 2026, 1:14 p.m.