Triple

T15785244
Position Surface form Disambiguated ID Type / Status
Subject Expo/Bundy station E382721 entity
Predicate servesNeighborhood P82 FINISHED
Object Sawtelle E188918 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: Sawtelle | Statement: [Expo/Bundy station, servesNeighborhood, Sawtelle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sawtelle
Context triple: [Expo/Bundy station, servesNeighborhood, Sawtelle]
  • A. Hadleyville
    Hadleyville is the fictional small Western town in the classic 1952 film "High Noon," where the story’s tense showdown unfolds.
  • B. Elliotdale
    Elliotdale is a small rural town in South Africa’s Eastern Cape, situated in the former Transkei region near the Mbashe River and the Wild Coast.
  • C. Shafter
    Shafter is a small agricultural city in California’s San Joaquin Valley, located northwest of Bakersfield.
  • D. Shafter
    Shafter is a surname most notably associated with William R. Shafter, a U.S. Army general who served in the American Civil War and the Spanish–American War.
  • E. Sawtelle, Los Angeles chosen
    Sawtelle, Los Angeles is a Westside neighborhood known for its vibrant Japanese American community, trendy eateries along Sawtelle Boulevard (“Little Osaka”), and mix of residential and commercial development.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05401c4788190a31c180953433db9 completed April 16, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff9987140c8190a50da103905a7930 completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:48 a.m.