Triple
T19431753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rogers, Ketchum and Grosvenor |
E486130
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Paterson, 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: Paterson, New Jersey | Statement: [Rogers, Ketchum and Grosvenor, location, Paterson, New Jersey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paterson, New Jersey Context triple: [Rogers, Ketchum and Grosvenor, location, Paterson, New Jersey]
-
A.
Paterson, New Jersey
chosen
Paterson, New Jersey is a historic industrial city in northern New Jersey known for its diverse immigrant communities, including a significant Dutch American presence.
-
B.
Paterson
Paterson is a Scottish-origin surname borne by various notable individuals across politics, law, sports, and the arts.
-
C.
Paterson
Paterson is a town in South Africa’s Eastern Cape province, known as a small rural settlement and gateway to nearby game reserves and agricultural areas.
-
D.
Paterson
Paterson is a long, modernist epic poem by William Carlos Williams that explores the life, landscape, and history of the city of Paterson, New Jersey.
-
E.
Paterson
Paterson is a major city in northern New Jersey known for its industrial history, diverse population, and role as a regional transportation hub.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6335b4e388190913ded15ad165b7b |
completed | April 20, 2026, 2:08 p.m. |
Created at: April 10, 2026, 1:37 p.m.