Triple

T38035229
Position Surface form Disambiguated ID Type / Status
Subject Lea County government E949332 entity
Predicate hasBranch P35 FINISHED
Object Lea County Treasurer’s Office
The Lea County Treasurer’s Office is the county government department responsible for collecting, safeguarding, and distributing public funds and property tax revenues in Lea County.
E2253956 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: Lea County Treasurer’s Office | Statement: [Lea County government, hasBranch, Lea County Treasurer’s Office]
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: Lea County Treasurer’s Office
Triple: [Lea County government, hasBranch, Lea County Treasurer’s Office]
Generated description
The Lea County Treasurer’s Office is the county government department responsible for collecting, safeguarding, and distributing public funds and property tax revenues in Lea 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_69f76eff0bb0819084bc4e63997bd039 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbc99e541c8190af421d3342b81918 completed May 6, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a415d2ed3c481908c89a693606df4e5 completed June 28, 2026, 5:43 p.m.
NEDg Description generation batch_6a415dcfde888190956fb3224e950f4e completed June 28, 2026, 5:45 p.m.
NED2 Entity disambiguation (via description) batch_6a415e51d2708190b648410e39c49c30 completed June 28, 2026, 5:48 p.m.
Created at: May 3, 2026, 4:20 p.m.