Triple
T6029941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Elizabeth |
E134275
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object |
Union County
Union County is a county in northeastern New Jersey known for its diverse communities, suburban-urban mix, 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: [City of Elizabeth, county, Union County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Union County Context triple: [City of Elizabeth, county, 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: [City of Elizabeth, county, Union County]
Generated description
Union County is a county in northeastern New Jersey known for its diverse communities, suburban-urban mix, 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 county in northeastern New Jersey known for its diverse communities, suburban-urban mix, and proximity to New York City.
-
A.
Union County
Union County is a suburban county in North Carolina that forms part of the greater Charlotte metropolitan area.
-
B.
Union County
Union County is a county in eastern Tennessee that forms part of the Knoxville metropolitan region.
-
C.
Union County
Union County is a small, rural county in northern Florida known for its agricultural landscape and correctional institutions.
-
D.
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.
-
E.
Union County
Union County is a rural county in northern South Carolina known for its historic textile mill heritage and small-town communities.
- 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_69c0087515148190a97475d412563865 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0561121708190a904e52aa3484988 |
completed | March 22, 2026, 8:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20d3a18e4819081b6f3c5a1f02b25 |
completed | March 24, 2026, 4:04 a.m. |
| NEDg | Description generation | batch_69c212f269b48190990c38341f3275d1 |
completed | March 24, 2026, 4:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c21346f7148190866356ce3c9e28e9 |
completed | March 24, 2026, 4:29 a.m. |
Created at: March 22, 2026, 4:08 p.m.