Triple

T16906121
Position Surface form Disambiguated ID Type / Status
Subject Industry, California E424565 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: [Industry, California, adjacentTo, Rowland Heights]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rowland Heights
Context triple: [Industry, California, 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3ca392ff48190ab28f0bd3e9fc376 completed April 18, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc002fac81908b7628d2add1e2dd completed May 10, 2026, 7:26 p.m.
Created at: April 10, 2026, 5:30 a.m.