Triple
T23092098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wellsburg, New York |
E575781
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Abraham Wells |
—
|
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: Abraham Wells | Statement: [Wellsburg, New York, namedAfter, Abraham Wells]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abraham Wells Context triple: [Wellsburg, New York, namedAfter, Abraham Wells]
-
A.
Abraham Wells
chosen
Abraham Wells was an individual significant enough in local history that the village of Wellsburg, New York, was named in his honor.
-
B.
Abraham Forney
Abraham Forney was a notable individual bearing the Forney surname, recognized enough to be specifically cited among its distinguished bearers.
-
C.
Abraham Hart
Abraham Hart was a 19th-century American publisher best known as the co-founder of the influential Philadelphia publishing firm Carey and Hart.
-
D.
Abraham Anderson
Abraham Anderson was an American businessman best known as a co-founder of the Campbell Soup Company.
-
E.
Granby Hillyer
Granby Hillyer was an individual significant enough in local or regional history that the town of Granby, Colorado, was named in his honor.
- 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_69e245bf3e3c819086d3448720efc01b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18daa68d48190842e9cb6de31ea79 |
completed | April 29, 2026, 4:48 a.m. |
Created at: April 17, 2026, 3:57 p.m.