Triple

T2641522
Position Surface form Disambiguated ID Type / Status
Subject North Lawndale E62876 entity
Predicate contains P35 FINISHED
Object Douglas Park E243629 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: Douglas Park | Statement: [North Lawndale, contains, Douglas Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Douglas Park
Context triple: [North Lawndale, contains, Douglas Park]
  • A. Douglas Park chosen
    Douglas Park is a large historic public park on Chicago’s West Side known for its athletic facilities, green spaces, and role as a community and event hub.
  • B. Dubois Park
    Dubois Park is a popular waterfront recreation area in Jupiter, Florida, known for its sandy beach, swimming lagoon, and scenic views near the Jupiter Inlet.
  • C. Lakeview Park
    Lakeview Park is a popular waterfront recreational area in Oshawa, Ontario, featuring green spaces, trails, and access to Lake Ontario.
  • D. Lake View Park
    Lake View Park is a popular recreational park and picnic spot located along the shores of Rawal Lake near Islamabad, Pakistan.
  • E. Fairview Park
    Fairview Park is a suburban city located on the western side of the Cleveland metropolitan area in northeastern Ohio.
  • 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_69ab4c3f2dcc819082df80f5e032f690 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abd8fdc0bc8190b7fd102b87ee50d1 completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69bde0234b6481908dcf37da32cf856b completed March 21, 2026, 12:02 a.m.
Created at: March 6, 2026, 9:53 p.m.