Triple
T7716700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pennsylvania Main Line region |
E174902
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Paoli |
E227399
|
NE FINISHED |
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: Paoli | Statement: [Pennsylvania Main Line region, contains, Paoli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paoli Context triple: [Pennsylvania Main Line region, contains, Paoli]
-
A.
Paoli, Pennsylvania
chosen
Paoli, Pennsylvania is a suburban community in Chester County known as a key stop on the Philadelphia–Harrisburg rail line and part of the Philadelphia metropolitan area.
-
B.
Ephrata
Ephrata is a small city in central Washington State that serves as the county seat of Grant County.
-
C.
Neufchâteau
Neufchâteau is a small historic town in northeastern France known for its role as an administrative and commercial center in the Vosges region.
-
D.
Quakertown, Pennsylvania
Quakertown, Pennsylvania is a small borough in Bucks County known as a regional commercial hub with historic roots and convenient access to major routes between Philadelphia and the Lehigh Valley.
-
E.
Mattersburg
Mattersburg is a small Austrian town that serves as an important local center in the eastern state of Burgenland.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702cd0ddc8190aa23d998f55d0bd6 |
completed | March 27, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8f30c099081909aaeac321fbf0066 |
completed | March 29, 2026, 9:38 a.m. |
Created at: March 27, 2026, 4:05 p.m.