Triple
T12075621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolvega |
E287538
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Weststellingwerf |
E291122
|
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: Weststellingwerf | Statement: [Wolvega, locatedIn, Weststellingwerf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weststellingwerf Context triple: [Wolvega, locatedIn, Weststellingwerf]
-
A.
Weststellingwerf
chosen
Weststellingwerf is a municipality in the province of Friesland in the northern Netherlands, known for its rural landscape and small villages.
-
B.
Oud-Beijerland harbour
Oud-Beijerland harbour is a small Dutch riverside port serving the town of Oud-Beijerland, historically used for local trade, fishing, and recreational boating.
-
C.
Werkendam harbor
Werkendam harbor is a Dutch inland port and marina on the River Merwede that serves as a regional hub for river shipping, shipbuilding, and water-related industries in the town of Werkendam.
-
D.
Brouwershaven
Brouwershaven is a small historic town in the Dutch province of Zeeland, known for its maritime heritage and well-preserved old center.
-
E.
Haarlem harbor
Haarlem harbor is the historic river port of the Dutch city of Haarlem, situated along the Spaarne and serving as a local hub for inland shipping, recreation, and waterfront activities.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9045ceeec81909427cae8972eed26 |
completed | April 10, 2026, 2:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f660f48881908d50bf27b0892953 |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:48 p.m.