Triple

T37066408
Position Surface form Disambiguated ID Type / Status
Subject Lakota Local School District E917455 entity
Predicate servesCommunity P82 FINISHED
Object Liberty Township, Ohio
Liberty Township, Ohio is a suburban community in Butler County known for its rapid residential growth, family-oriented neighborhoods, and access to quality public schools and regional amenities.
E2211102 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: Liberty Township, Ohio | Statement: [Lakota Local School District, servesCommunity, Liberty Township, 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: Liberty Township, Ohio
Triple: [Lakota Local School District, servesCommunity, Liberty Township, Ohio]
Generated description
Liberty Township, Ohio is a suburban community in Butler County known for its rapid residential growth, family-oriented neighborhoods, and access to quality public schools and regional amenities.

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_69f76e95fa40819091e14681087ae5e4 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb2f906d6c8190965fe859102817c1 completed May 6, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e8c58f82481908cc1f83258fc3526 completed June 26, 2026, 2:27 p.m.
NEDg Description generation batch_6a3e9daef2488190861e1a9ef88da7ff completed June 26, 2026, 3:41 p.m.
NED2 Entity disambiguation (via description) batch_6a3eabd4f2548190a4a111700635eb7a completed June 26, 2026, 4:41 p.m.
Created at: May 3, 2026, 4:14 p.m.