Triple
T19421522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SC Franeker |
E485865
|
entity |
| Predicate | locatedInMunicipality |
P40
|
FINISHED |
| Object | Waadhoeke |
—
|
NE NERFINISHED |
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: Waadhoeke | Statement: [SC Franeker, locatedInMunicipality, Waadhoeke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waadhoeke Context triple: [SC Franeker, locatedInMunicipality, Waadhoeke]
-
A.
Waadhoeke
chosen
Waadhoeke is a municipality in the province of Friesland in the Netherlands, formed in 2018 through the merger of several former municipalities including Franekeradeel.
-
B.
Hudde
Hudde is a Dutch surname most notably associated with Johannes Hudde, a 17th-century mathematician and mayor of Amsterdam known for his contributions to algebra and optics.
-
C.
Wiske
Wiske is a small river in North Yorkshire, England, known as one of the tributaries feeding into the River Swale.
-
D.
Wanhatti
Wanhatti is a village in Suriname known as a Maroon settlement located within the country’s eastern Marowijne District.
-
E.
Wetsinge
Wetsinge is a small village in the province of Groningen in the northern Netherlands.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63214d768819082129100d7116521 |
completed | April 20, 2026, 2:03 p.m. |
Created at: April 10, 2026, 1:37 p.m.