Triple

T15060313
Position Surface form Disambiguated ID Type / Status
Subject La Habra Heights E379606 entity
Predicate adjacentTo P224 FINISHED
Object Rowland Heights E384662 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: Rowland Heights | Statement: [La Habra Heights, adjacentTo, Rowland Heights]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rowland Heights
Context triple: [La Habra Heights, adjacentTo, Rowland Heights]
  • A. Rowland Heights chosen
    Rowland Heights is a suburban community in Los Angeles County, California, known for its large Asian American population, vibrant shopping and dining scene, and location in the San Gabriel Valley.
  • B. Ladera Heights
    Ladera Heights is an affluent, predominantly residential community in Los Angeles County known for its hillside homes and proximity to West Los Angeles and Culver City.
  • C. Woodland Hills
    Woodland Hills is a small residential city located in Utah County, Utah, known for its scenic, wooded setting on the slopes above Utah Valley.
  • D. Riverside Heights
    Riverside Heights is a small community located within the Township of South Dundas in eastern Ontario, Canada.
  • E. River Heights
    River Heights is the fictional Midwestern hometown of teenage sleuth Nancy Drew, serving as the primary backdrop for many of her mystery-solving adventures.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedee50afc8190bf7b0f4bbe8c60a3 completed April 15, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69fedd2268dc8190882e5a489e0c49c2 completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:01 a.m.