Triple

T35853740
Position Surface form Disambiguated ID Type / Status
Subject Kentucky County, Virginia E1036438 entity
Predicate followedBy P78 FINISHED
Object Fayette County, Virginia
Fayette County, Virginia was a former county in the Commonwealth of Virginia that existed in the late 18th century before its territory became part of Kentucky.
E408970 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: Fayette County, Virginia | Statement: [Kentucky County, Virginia, followedBy, Fayette County, Virginia]
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: Fayette County, Virginia
Triple: [Kentucky County, Virginia, followedBy, Fayette County, Virginia]
Generated description
Fayette County, Virginia was a former county in the Commonwealth of Virginia that existed in the late 18th century before its territory became part of Kentucky.

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_69f76e1b4aa481909630373171eb5ec6 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a96ea808819091fb0bc06264182a completed May 3, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7d0ace6f6c8190a8d3448a5abfc95a completed Aug. 13, 2026, 12:07 a.m.
NEDg Description generation batch_6a7d0b5dfc388190a160923af44c5319 completed Aug. 13, 2026, 12:10 a.m.
NED2 Entity disambiguation (via description) batch_6a7d0bc73c9c8190ae0a9cd867697207 completed Aug. 13, 2026, 12:11 a.m.
Created at: May 3, 2026, 4:06 p.m.