Triple
T20910670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oakmont |
E514932
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Plum, Pennsylvania |
—
|
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: Plum, Pennsylvania | Statement: [Oakmont, adjacentTo, Plum, Pennsylvania]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plum, Pennsylvania Context triple: [Oakmont, adjacentTo, Plum, Pennsylvania]
-
A.
Plum, Pennsylvania
chosen
Plum, Pennsylvania is a suburban borough in Allegheny County near Pittsburgh, known for its residential communities and mix of rural and developed areas.
-
B.
Plumville, Pennsylvania
Plumville, Pennsylvania is a small borough in Indiana County, Pennsylvania, situated within the rural Ligonier Valley region.
-
C.
Pulaski, Pennsylvania
Pulaski, Pennsylvania is a small unincorporated community in Lawrence County known for its rural character within western Pennsylvania.
-
D.
Plymouth, Pennsylvania
Plymouth, Pennsylvania is a small borough in Luzerne County’s Wyoming Valley, historically known as a coal mining community along the Susquehanna River.
-
E.
Delmont, Pennsylvania
Delmont, Pennsylvania is a small borough in Westmoreland County known as a historic crossroads community in the Pittsburgh metropolitan area.
- 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_69e0b4f9d5ec8190bb2bd27350ed341c |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6ec5e3f988190932956119197e3b1 |
completed | April 21, 2026, 3:17 a.m. |
Created at: April 16, 2026, 12:48 p.m.