Triple
T6471361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seaside Park |
E142359
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Berkeley Township |
E366414
|
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: Berkeley Township | Statement: [Seaside Park, borders, Berkeley Township]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berkeley Township Context triple: [Seaside Park, borders, Berkeley Township]
-
A.
Warren Township
Warren Township is a rural civil township located within Poweshiek County in the U.S. state of Iowa.
-
B.
Butler Township
Butler Township is a rural municipality in Luzerne County, Pennsylvania, known for its small communities, forests, and proximity to the Pocono region.
-
C.
Harris Township
Harris Township is a small rural municipality located within Ontario’s Timiskaming District in Canada.
-
D.
Waterford Township
chosen
Waterford Township is a municipality in Camden County, New Jersey, known for its suburban communities and proximity to the Pine Barrens.
-
E.
Peters Township
Peters Township is a suburban municipality in Washington County, Pennsylvania, known for its residential communities and proximity to the Pittsburgh metropolitan area.
- 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_69c008d3bf4c8190bcf798c5ba9d6fb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06a2fd4248190a789bf0301e2860a |
completed | March 22, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d50423808190817cad8601490a77 |
completed | March 27, 2026, 7:05 p.m. |
Created at: March 22, 2026, 4:50 p.m.