Triple
T2299772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pekela |
E51701
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Stadskanaal |
E94423
|
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: Stadskanaal | Statement: [Pekela, borderedBy, Stadskanaal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stadskanaal Context triple: [Pekela, borderedBy, Stadskanaal]
-
A.
Stadskanaal
chosen
Stadskanaal is a town and municipality in the northeast of the Netherlands known for its canal-based origins and location in a former peat-extraction area.
-
B.
Maassluis
Maassluis is a historic port town in the province of South Holland in the Netherlands, situated along the Nieuwe Waterweg west of Rotterdam.
-
C.
Oudeschild
Oudeschild is a small fishing village and harbor on the Dutch island of Texel, known for its maritime heritage and coastal tourism.
-
D.
Cuijk
Cuijk is a historic town in the Dutch province of North Brabant, known for its Roman-era heritage and location along the River Meuse.
-
E.
Gorinchem
Gorinchem is a historic fortified city in the Netherlands known for its well-preserved city walls and picturesque old town.
- 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc5ec3c948190b47ea763812a1cf5 |
completed | March 7, 2026, 6:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c761601814819092889a7d6ba74a02 |
completed | March 28, 2026, 5:04 a.m. |
Created at: March 4, 2026, 7:49 p.m.