Triple

T16771108
Position Surface form Disambiguated ID Type / Status
Subject Interstate 105 E407596 entity
Predicate passesThrough P225 FINISHED
Object Hawthorne E215550 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: Hawthorne | Statement: [Interstate 105, passesThrough, Hawthorne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hawthorne
Context triple: [Interstate 105, passesThrough, Hawthorne]
  • A. Hawthorne chosen
    Hawthorne is a city in southwestern Los Angeles County, California, known as a residential and commercial suburb within the Greater Los Angeles area.
  • B. Hawthorne
    Hawthorne is a medical drama television series centered on the personal and professional challenges of a compassionate chief nursing officer in a struggling hospital.
  • C. Hawthorne
    Hawthorne is a small, affluent residential neighborhood in the northwestern part of Washington, D.C., known for its leafy streets and suburban character.
  • D. Hawthorne
    Hawthorne is a surname of English origin borne by various notable individuals across fields such as literature, science, and public life.
  • E. Hawthorne
    Hawthorne is a planned residential community within Willingboro Township, New Jersey, characterized by its suburban layout and neighborhood design.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b0361e5081908f58edf766ff3ce0 completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a5361c3881909be0fb9b83a59993 completed May 10, 2026, 3:33 p.m.
Created at: April 10, 2026, 5:21 a.m.