Triple

T36985482
Position Surface form Disambiguated ID Type / Status
Subject Christian County Courthouse E914949 entity
Predicate governingBody P46 FINISHED
Object Christian County government
The Christian County government is the local administrative authority responsible for managing public services, law enforcement, and county-wide policies in Christian County.
E2207026 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: Christian County government | Statement: [Christian County Courthouse, governingBody, Christian 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: Christian County government
Triple: [Christian County Courthouse, governingBody, Christian County government]
Generated description
The Christian County government is the local administrative authority responsible for managing public services, law enforcement, and county-wide policies in Christian County.

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_69f76e8dd0408190b8b46da118ea5128 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f9ffa64d488190adf5fde1daeae7c7 completed May 5, 2026, 2:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e2c50ed608190a8b35108c0449f75 completed June 26, 2026, 7:37 a.m.
NEDg Description generation batch_6a3e2ce08a40819081db007321d0b279 completed June 26, 2026, 7:40 a.m.
NED2 Entity disambiguation (via description) batch_6a3e458016e881909cef925bc1bad341 completed June 26, 2026, 9:25 a.m.
Created at: May 3, 2026, 4:14 p.m.