Triple

T10177442
Position Surface form Disambiguated ID Type / Status
Subject Spruce Hill E235888 entity
Predicate near P350 FINISHED
Object Clark Park E61552 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: Clark Park | Statement: [Spruce Hill, near, Clark Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clark Park
Context triple: [Spruce Hill, near, Clark Park]
  • A. Clark Park chosen
    Clark Park is a large, historic neighborhood park in West Philadelphia known for its green space, community events, and popular farmers’ market.
  • B. Clark Park
    Clark Park is a well-known public park in Detroit’s Mexicantown neighborhood, recognized for its community events, recreational facilities, and role as a local gathering space.
  • C. Millard Park
    Millard Park is a public recreational park located in Highland Park, Illinois.
  • D. Jefferson Park
    Jefferson Park is a historic residential neighborhood in Los Angeles known for its early 20th-century architecture and diverse community.
  • E. Jefferson Park
    Jefferson Park is a large public park in Seattle’s Beacon Hill neighborhood, known for its open green spaces, sports facilities, and panoramic views of the city and mountains.
  • 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_69ca84d1d5f88190ab878a1021ecff68 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdecd4e3188190aa5d9ee95595f4a7 completed April 2, 2026, 4:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6554d0b0081909cc031ff06b796c0 completed May 2, 2026, 7:49 p.m.
Created at: March 30, 2026, 9:11 p.m.