Triple

T24225878
Position Surface form Disambiguated ID Type / Status
Subject Harrison Township, Montgomery County, Ohio E601593 entity
Predicate subdivisionName P747 FINISHED
Object Harrison Township
Harrison Township is a civil township located in Montgomery County, Ohio, functioning as a local governmental subdivision within the Dayton metropolitan area.
E1637609 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: Harrison Township | Statement: [Harrison Township, Montgomery County, Ohio, subdivisionName, Harrison Township]
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: Harrison Township
Triple: [Harrison Township, Montgomery County, Ohio, subdivisionName, Harrison Township]
Generated description
Harrison Township is a civil township located in Montgomery County, Ohio, functioning as a local governmental subdivision within the Dayton metropolitan area.

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_69e29537ca548190b94a37ebe1977caf completed April 17, 2026, 8:16 p.m.
NER Named-entity recognition batch_69f287df14148190ac2dd00bc248ebd2 completed April 29, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fee53d6b88190b8d37c66f0bcd80b completed May 22, 2026, 5:49 a.m.
NEDg Description generation batch_6a0fef6feb088190870b41df1edb338e completed May 22, 2026, 5:53 a.m.
NED2 Entity disambiguation (via description) batch_6a0ff0485fd881909fe491c9183491de completed May 22, 2026, 5:57 a.m.
Created at: April 18, 2026, midnight