Triple

T22858211
Position Surface form Disambiguated ID Type / Status
Subject Butler County, Ohio E566840 entity
Predicate contains P35 FINISHED
Object Woodsdale, Ohio
Woodsdale, Ohio is an unincorporated community located in Butler County in southwestern Ohio, known primarily as a small residential area within the Cincinnati metropolitan region.
E1743888 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: Woodsdale, Ohio | Statement: [Butler County, Ohio, contains, Woodsdale, Ohio]
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: Woodsdale, Ohio
Triple: [Butler County, Ohio, contains, Woodsdale, Ohio]
Generated description
Woodsdale, Ohio is an unincorporated community located in Butler County in southwestern Ohio, known primarily as a small residential area within the Cincinnati metropolitan region.

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_69e24589083081908d5694c4fdc80086 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17ebe3f9c8190a864f4e84dc7795d completed April 29, 2026, 3:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1212f8f90481909f9d4719b4e401a6 completed May 23, 2026, 8:50 p.m.
NEDg Description generation batch_6a1215a9c1f08190ae3b2ec8944d50ad completed May 23, 2026, 9:01 p.m.
NED2 Entity disambiguation (via description) batch_6a12164387708190ae387434c13848aa completed May 23, 2026, 9:04 p.m.
Created at: April 17, 2026, 3:37 p.m.