Triple
T10914165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northeastern Pennsylvania |
E257776
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Tamaqua |
E399956
|
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: Tamaqua | Statement: [Northeastern Pennsylvania, hasCity, Tamaqua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamaqua Context triple: [Northeastern Pennsylvania, hasCity, Tamaqua]
-
A.
Tamaqua, Pennsylvania
chosen
Tamaqua, Pennsylvania is a small borough in Schuylkill County known historically for its anthracite coal mining heritage and location in the Appalachian region.
-
B.
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.
-
C.
Mattersburg
Mattersburg is a small Austrian town that serves as an important local center in the eastern state of Burgenland.
-
D.
Bridgewater, Pennsylvania
Bridgewater, Pennsylvania is a small borough in Beaver County situated at the confluence of the Beaver and Ohio Rivers, known for its historic riverfront setting.
-
E.
Neufchâteau
Neufchâteau is a small town and municipality in the Belgian Ardennes, serving as an administrative and commercial center in Luxembourg Province.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77073d12881908ea59771b84bc804 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a92e09648190ab39053521211743 |
completed | April 18, 2026, 3:54 p.m. |
Created at: April 8, 2026, 9:22 p.m.