Triple

T24132423
Position Surface form Disambiguated ID Type / Status
Subject Kelseyville, California E597988 entity
Predicate governingBody P46 FINISHED
Object Lake County government
Lake County government is the local administrative authority responsible for providing public services, enforcing regulations, and overseeing countywide operations in Lake County, California.
E1622612 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: Lake County government | Statement: [Kelseyville, California, governingBody, Lake County government]
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: Lake County government
Triple: [Kelseyville, California, governingBody, Lake County government]
Generated description
Lake County government is the local administrative authority responsible for providing public services, enforcing regulations, and overseeing countywide operations in Lake 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_69e288c808b881909fed7d18f04bcbbe completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1df78b6f08190809fc154110fa201 completed April 29, 2026, 10:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fad1f810881909a820e56ec13b58c completed May 22, 2026, 1:10 a.m.
NEDg Description generation batch_6a0fae6318c8819099bf0565a01b5312 completed May 22, 2026, 1:16 a.m.
NED2 Entity disambiguation (via description) batch_6a0faefcb9048190abf1ccd608f1b607 completed May 22, 2026, 1:18 a.m.
Created at: April 17, 2026, 11:25 p.m.