Triple
T27741813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Jersey politics |
E701873
|
entity |
| Predicate | majorSuburbanPoliticalRegions |
P119819
|
FINISHED |
| Object | Bergen County |
—
|
NE NERFINISHED |
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: Bergen County | Statement: [New Jersey politics, majorSuburbanPoliticalRegions, Bergen County]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorSuburbanPoliticalRegions Context triple: [New Jersey politics, majorSuburbanPoliticalRegions, Bergen County]
-
A.
suburbanAreasDominatedBy
Indicates that one suburban area is predominantly controlled, influenced, or characterized by another entity (such as a group, activity, or demographic).
-
B.
hasSuburbanAreas
Indicates that a place includes or is associated with surrounding residential suburban districts or neighborhoods.
-
C.
governsSuburbs
Indicates that one administrative entity holds governing authority or jurisdiction over surrounding suburban areas.
-
D.
majorSuburbsIncluded
chosen
Indicates that certain major suburbs are encompassed within or form part of a larger defined area or entity.
-
E.
citySubdivision
Indicates that one administrative or geographic unit is a smaller subdivision contained within a larger city.
- F. None of above.
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_69ef6a53c7388190899baa6daf42301c |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
Created at: April 27, 2026, 4:11 p.m.