Triple

T6995259
Position Surface form Disambiguated ID Type / Status
Subject La Cienega Boulevard E162195 entity
Predicate passesThrough P225 FINISHED
Object Inglewood E229387 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: Inglewood | Statement: [La Cienega Boulevard, passesThrough, Inglewood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inglewood
Context triple: [La Cienega Boulevard, passesThrough, Inglewood]
  • A. Inglewood chosen
    Inglewood is a city in southwestern Los Angeles County, California, known for its major sports and entertainment venues such as SoFi Stadium and the Kia Forum.
  • B. Inglewood
    Inglewood is a small rural town in New Zealand’s Taranaki region, known for its dairy farming and proximity to Mount Taranaki.
  • C. Inglewood
    Inglewood is a small village within the town of Caledon in Ontario, Canada, known for its rural charm and proximity to scenic trails and conservation areas.
  • D. Maywood
    Maywood is a small, densely populated city in southeastern Los Angeles County, California, known for its predominantly Latino community and urban residential character.
  • E. Huntington Park
    Huntington Park is a small, elegant urban park in San Francisco’s Nob Hill neighborhood, known for its manicured lawns, fountain, and views of surrounding historic landmarks.
  • 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_69c68857ffc08190857dc62cd5253777 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dbec259c8190bb4cfbc1ff6fc786 completed March 27, 2026, 7:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79c7e87b88190bed99f68bbffa186 completed March 28, 2026, 9:16 a.m.
Created at: March 27, 2026, 2:32 p.m.