Triple

T1980132
Position Surface form Disambiguated ID Type / Status
Subject Center City Philadelphia E43005 entity
Predicate contains P35 FINISHED
Object Love Park E3826 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: Love Park | Statement: [Center City Philadelphia, contains, Love Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Love Park
Context triple: [Center City Philadelphia, contains, Love Park]
  • A. Love Park chosen
    Love Park is a famous public square in downtown Philadelphia best known for its iconic LOVE sculpture and role as a popular gathering and skateboarding spot.
  • B. Riverview Park
    Riverview Park is a riverside recreational area near Charlottesville, Virginia, offering trails, open green space, and access to the Rivanna River for outdoor activities.
  • C. Par-la-Ville Park
    Par-la-Ville Park is a historic public garden and green space in central Hamilton, Bermuda, known for its shaded paths, mature trees, and tranquil atmosphere.
  • D. Baker Park
    Baker Park is a prominent public park in Frederick, Maryland, known for its open green spaces, recreational facilities, and community events.
  • E. Hurley Park
    Hurley Park is a public garden and recreational green space located in Salisbury, North Carolina.
  • 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_69a88713ddc88190a969715658ebe7a8 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb7c87bc081908ed179d1ca94fa3b completed March 7, 2026, 5:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69b57efde3148190ac7a0d94281a1ff2 completed March 14, 2026, 3:30 p.m.
Created at: March 4, 2026, 7:37 p.m.