Triple
T9756940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NPF-57 |
E236576
|
entity |
| Predicate | siteCounty |
P23957
|
FINISHED |
| Object | Salem 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: Salem County, New Jersey | Statement: [NPF-57, siteCounty, Salem County, New Jersey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: siteCounty Context triple: [NPF-57, siteCounty, Salem County, New Jersey]
-
A.
inCounty
chosen
Indicates that one entity is geographically or administratively located within the boundaries of a specified county.
-
B.
homeCounty
Indicates that a specified county is the primary home or place of residence for a given person or entity.
-
C.
includesCounty
Indicates that a larger geographic or administrative region contains or encompasses a specific county within its boundaries.
-
D.
startCounty
Indicates the county in which something (such as an event, route, or process) begins or originates.
-
E.
countyName
Indicates the specific name assigned to a county in which an entity is located or with which it is associated.
- 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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9fb2889481908fba4a449d5007fe |
completed | April 1, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69cd03d0772c8190bd1750cf1cfba309 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:24 p.m.