Triple

T24114699
Position Surface form Disambiguated ID Type / Status
Subject Portola, California E597476 entity
Predicate hasPublicService P6352 FINISHED
Object Beckwourth Fire District
Beckwourth Fire District is a local fire protection and emergency response agency serving Portola and surrounding areas in Plumas County, California.
E1616504 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: Beckwourth Fire District | Statement: [Portola, California, hasPublicService, Beckwourth Fire District]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Beckwourth Fire District
Triple: [Portola, California, hasPublicService, Beckwourth Fire District]
Generated description
Beckwourth Fire District is a local fire protection and emergency response agency serving Portola and surrounding areas in Plumas County, California.

Provenance (5 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_69e288c74200819098ab875b592cb39f completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1de1daf0481908767902bdf4e3682 completed April 29, 2026, 10:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f968c2bb48190a208248973e659ca completed May 21, 2026, 11:34 p.m.
NEDg Description generation batch_6a0f97690ba881908497a2b913a1703f completed May 21, 2026, 11:38 p.m.
NED2 Entity disambiguation (via description) batch_6a0f9833113c81909228b113aa2e36cd completed May 21, 2026, 11:41 p.m.
Created at: April 17, 2026, 11:04 p.m.