Triple

T34494988
Position Surface form Disambiguated ID Type / Status
Subject Wells County Courthouse E885575 entity
Predicate usedBy P260 FINISHED
Object Wells County government
Wells County government is the local administrative authority responsible for governing Wells County, Indiana, including managing public services, law enforcement, and county infrastructure.
E887975 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: Wells County government | Statement: [Wells County Courthouse, usedBy, Wells 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: Wells County government
Triple: [Wells County Courthouse, usedBy, Wells County government]
Generated description
Wells County government is the local administrative authority responsible for governing Wells County, Indiana, including managing public services, law enforcement, and county infrastructure.

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_69f349cafcec8190997b45b3fdc16c27 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f71cf2030881909637e460314029c5 completed May 3, 2026, 10:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3721435f7c8190ab49f870a4b0f3be completed June 20, 2026, 11:24 p.m.
NEDg Description generation batch_6a3721d614908190a25d92255fe1b393 completed June 20, 2026, 11:27 p.m.
NED2 Entity disambiguation (via description) batch_6a372258e0948190807baa91b3465ef8 completed June 20, 2026, 11:29 p.m.
Created at: May 1, 2026, 2:01 a.m.