Triple

T31540619
Position Surface form Disambiguated ID Type / Status
Subject Falmouth, Kentucky E804736 entity
Predicate hasCountyGovernmentBuilding P77627 FINISHED
Object Pendleton County Courthouse
Pendleton County Courthouse is the historic judicial and administrative center serving Pendleton County in Falmouth, Kentucky.
E1968703 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: Pendleton County Courthouse | Statement: [Falmouth, Kentucky, hasCountyGovernmentBuilding, Pendleton County Courthouse]
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: Pendleton County Courthouse
Triple: [Falmouth, Kentucky, hasCountyGovernmentBuilding, Pendleton County Courthouse]
Generated description
Pendleton County Courthouse is the historic judicial and administrative center serving Pendleton County in Falmouth, 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_69f348d11a048190a65eb8384a3754ac completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a786546c8190953af3ba18a836a4 completed May 3, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b563088708190921723d98a9b3cd0 completed June 12, 2026, 12:43 a.m.
NEDg Description generation batch_6a2b581b44488190bd1bffb5b05e56e3 completed June 12, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_6a2b58de3f5c819098fdc0a6922670a1 completed June 12, 2026, 12:54 a.m.
Created at: April 30, 2026, 10:06 p.m.