Triple

T23398623
Position Surface form Disambiguated ID Type / Status
Subject Fort Thomas Military and Community Museum E559433 entity
Predicate servesCommunity P82 FINISHED
Object Campbell County
Campbell County is a county in northern Kentucky, United States, located along the Ohio River and forming part of the Cincinnati metropolitan area.
E1633490 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: Campbell County | Statement: [Fort Thomas Military and Community Museum, servesCommunity, Campbell County]
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: Campbell County
Triple: [Fort Thomas Military and Community Museum, servesCommunity, Campbell County]
Generated description
Campbell County is a county in northern Kentucky, United States, located along the Ohio River and forming part of the Cincinnati 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_69e24549610c8190a069d6411ce5f661 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a4ddcb9481909881c77458c59c83 completed April 29, 2026, 6:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fe32d10c88190b3b25f6768910b2d completed May 22, 2026, 5:01 a.m.
NEDg Description generation batch_6a0fe406801c819082d404e74b5ae415 completed May 22, 2026, 5:05 a.m.
NED2 Entity disambiguation (via description) batch_6a0fe4aa1dd881909820b5fe92608d6f completed May 22, 2026, 5:07 a.m.
Created at: April 17, 2026, 5:37 p.m.