Triple

T8730484
Position Surface form Disambiguated ID Type / Status
Subject North Jersey E207241 entity
Predicate includesCounty P5971 FINISHED
Object Union County
Union County is a densely populated county in northeastern New Jersey known for its suburban communities, parks, and proximity to New York City.
 E577181 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 Jersey, includesCounty, Union County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Union County
Context triple: [North Jersey, includesCounty, 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 small, rural county in northern Florida known for its agricultural landscape and correctional institutions.
  • 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 Jersey, includesCounty, Union County]
Generated description
Union County is a densely populated county in northeastern New Jersey known for its suburban communities, parks, and proximity to New York City.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Union County
Target entity description: Union County is a densely populated county in northeastern New Jersey known for its suburban communities, parks, and proximity to New York City.
  • A. Union County chosen
    Union County is a county in northeastern New Jersey known for its diverse communities, suburban-urban mix, and proximity to New York City.
  • 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 county in eastern Tennessee that forms part of the Knoxville metropolitan region.
  • D. Union County
    Union County is a small, rural county in northern Florida known for its agricultural landscape and correctional institutions.
  • 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.

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_69ca8358e4008190898471a59b96c301 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d26d280819085e15d4917c2b9a5 completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69e23aeb6f9c8190a986af35bcf353f7 completed April 17, 2026, 1:51 p.m.
NEDg Description generation batch_69e2453f6f008190847298f4006290f7 completed April 17, 2026, 2:35 p.m.
NED2 Entity disambiguation (via description) batch_69e288b1d64c8190b31313634b706d0a completed April 17, 2026, 7:23 p.m.
Created at: March 30, 2026, 6:37 p.m.