Triple
T17044984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John H. Van Buskirk |
E413542
|
entity |
| Predicate | possibleRegionOfSignificance |
P12510
|
FINISHED |
| Object | Bergen County, New Jersey |
—
|
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, New Jersey | Statement: [John H. Van Buskirk, possibleRegionOfSignificance, Bergen County, New Jersey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: possibleRegionOfSignificance Context triple: [John H. Van Buskirk, possibleRegionOfSignificance, Bergen County, New Jersey]
-
A.
significanceArea
Indicates that a specified area holds particular importance, relevance, or impact within a given context or system.
-
B.
likelyRegion
Indicates that an entity is probably located in, associated with, or originates from a particular geographic region.
-
C.
sensitivityRegion
Indicates the specific area or domain within which a subject is particularly responsive, vulnerable, or reactive to a given influence or condition.
-
D.
regionOfRecognition
Indicates the geographic or administrative area within which something is officially acknowledged, valid, or recognized.
-
E.
hasRegionalSignificance
chosen
Indicates that something holds particular importance, influence, or relevance within a specific geographic region.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3da9d7e988190a5e3991c7123f9b0 |
completed | April 18, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69e35d60a588819084f53ef9f8b2e7c0 |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.