Triple

T12882545
Position Surface form Disambiguated ID Type / Status
Subject Little Village, Chicago E308132 entity
Predicate borderedBy P224 FINISHED
Object Brighton Park E291193 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: Brighton Park | Statement: [Little Village, Chicago, borderedBy, Brighton Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brighton Park
Context triple: [Little Village, Chicago, borderedBy, Brighton Park]
  • A. Brighton Park chosen
    Brighton Park is a residential and industrial neighborhood on Chicago’s Southwest Side known for its diverse population and strong working-class character.
  • B. Roosevelt Park
    Roosevelt Park is a public recreational park in Edison, New Jersey, known for its walking trails, lake, and community facilities.
  • C. Jefferson Park
    Jefferson Park is a historic residential neighborhood in Los Angeles known for its early 20th-century architecture and diverse community.
  • D. 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.
  • E. Jefferson Park
    Jefferson Park is a scenic alpine meadow area in Oregon’s Mount Jefferson Wilderness, known for its lakes, wildflower-filled basins, and close-up views of Mount Jefferson and surrounding glaciers.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fd15888190baf90fc30f2a3e25 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d3188f88190aafbb1cf97317dc8 completed May 3, 2026, 7:08 p.m.
Created at: April 9, 2026, 5:39 p.m.