Triple
T8730478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Jersey |
E207241
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Union City |
E59763
|
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: Union City | Statement: [North Jersey, hasMajorCity, Union City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Union City Context triple: [North Jersey, hasMajorCity, Union City]
-
A.
Union City
Union City is a suburban city in California’s San Francisco Bay Area, known for its diverse population and location between Oakland and San Jose.
-
B.
Union City
Union City is a suburban city in Fulton County, Georgia, that forms part of the greater Atlanta metropolitan area.
-
C.
Union City, New Jersey
chosen
Union City, New Jersey is a densely populated urban municipality in northeastern New Jersey known for its large Hispanic community and location atop the Hudson Palisades overlooking Manhattan.
-
D.
Newburgh
Newburgh is a small historic town in eastern Scotland known for its scenic setting on the River Tay and its traditional Scottish character.
-
E.
Newburgh
Newburgh is a small rural village in Lancashire, England, known for its historic buildings and scenic countryside setting.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69cf42b0f5808190863a1ca3c4e9c8d1 |
completed | April 3, 2026, 4:31 a.m. |
Created at: March 30, 2026, 6:37 p.m.