Triple

T3212560
Position Surface form Disambiguated ID Type / Status
Subject North Florida E67312 entity
Predicate includes P1393 FINISHED
Object Union County
Union County is a small, rural county in northern Florida known for its agricultural landscape and correctional institutions.
E369476 NE FINISHED

How this triple was built (4 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: Union County | Statement: [North Florida, includes, Union County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Union County
Context triple: [North Florida, includes, Union County]
  • A. Union County
    Union County is a county in eastern Tennessee that forms part of the Knoxville metropolitan region.
  • B. Union County
    Union County is a suburban county in North Carolina that forms part of the greater Charlotte metropolitan area.
  • C. Union County
    Union County is a rural county in southwestern Iowa known for its agricultural landscape and small communities.
  • D. Union County
    Union County is a county in northern Georgia known for its mountainous terrain, outdoor recreation areas, and historic ties to the region’s gold-mining heritage.
  • E. Union County
    Union County is a rural county in northeastern New Mexico known for its ranching economy, wide-open High Plains landscapes, and small communities such as its county seat, Clayton.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Union County
Triple: [North Florida, includes, Union County]
Generated description
Union County is a small, rural county in northern Florida known for its agricultural landscape and correctional institutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Union County
Target entity description: Union County is a small, rural county in northern Florida known for its agricultural landscape and correctional institutions.
  • A. Union County
    Union County is a county in eastern Tennessee that forms part of the Knoxville metropolitan region.
  • B. Union County
    Union County is a suburban county in North Carolina that forms part of the greater Charlotte metropolitan area.
  • C. Union County
    Union County is a rural county in southwestern Iowa known for its agricultural landscape and small communities.
  • D. Union County
    Union County is a county in northern Georgia known for its mountainous terrain, outdoor recreation areas, and historic ties to the region’s gold-mining heritage.
  • E. Union County
    Union County is a rural county in northeastern New Mexico known for its ranching economy, wide-open High Plains landscapes, and small communities such as its county seat, Clayton.
  • F. None of above. chosen

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_69ad858ac36c81909962589cd277d6e2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaabba8e481909118d9f888ddcd63 completed March 8, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bb6ae0bc8190a64ab7c2a842495b completed March 13, 2026, 7:23 a.m.
NEDg Description generation batch_69b3bbdbda208190a358b85e704b9407 completed March 13, 2026, 7:25 a.m.
NED2 Entity disambiguation (via description) batch_69b3f5a60fa08190acbb7257b515369a completed March 13, 2026, 11:31 a.m.
Created at: March 8, 2026, 3:07 p.m.