Triple

T6138280
Position Surface form Disambiguated ID Type / Status
Subject Yermo E136890 entity
Predicate locatedNear P294 FINISHED
Object Barstow E14843 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: Barstow | Statement: [Yermo, locatedNear, Barstow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barstow
Context triple: [Yermo, locatedNear, Barstow]
  • A. Barstow chosen
    Barstow is a small city in Southern California known as a major transportation hub and gateway between Los Angeles, Las Vegas, and the Mojave Desert.
  • B. Cathedral City
    Cathedral City is a desert community in Southern California known as a residential and resort city within the Greater Palm Springs area.
  • C. Artesia
    Artesia is a small suburban city in southeast Los Angeles County, California, known for its diverse community and the Little India commercial district along Pioneer Boulevard.
  • D. Artesia
    Artesia is a small city in southeastern New Mexico known for its oil and gas industry and agricultural roots.
  • E. Bakersfield
    Bakersfield is a large city in California known for its role as an agricultural and oil-production hub and as the birthplace of the Bakersfield sound in country music.
  • 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_69c008a179388190a3b5a081bbf46d55 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c855a2481909801de9fd55686a4 completed March 22, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d035e9c8190bd9978987833ff3c completed March 27, 2026, 7:08 a.m.
Created at: March 22, 2026, 4:15 p.m.