Triple
T20572155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | municipality of Katwijk |
E505127
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Valkenburg |
—
|
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: Valkenburg | Statement: [municipality of Katwijk, hasPart, Valkenburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valkenburg Context triple: [municipality of Katwijk, hasPart, Valkenburg]
-
A.
Valkenburg
chosen
Valkenburg is a village in the Dutch province of South Holland, known for its historic charm and proximity to the North Sea coast.
-
B.
Valkenburg
Valkenburg is a historic Dutch town in the province of Limburg, known for its hilly landscape, tourism, and cycling events.
-
C.
Vredenburg
Vredenburg is a former name of the Muziekcentrum Vredenburg, a prominent concert and music venue in Utrecht, Netherlands.
-
D.
Vredenburg
Vredenburg is a town on South Africa’s West Coast that serves as a regional commercial and service hub near Saldanha Bay.
-
E.
Valkenberg
Valkenberg is a notable hill in the Flemish Ardennes of Belgium, known especially as a challenging climb in professional road cycling races.
- 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_69e0b4b721588190993ac7b0a9be2736 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a905b1288190bbad9aa14362bb97 |
completed | April 20, 2026, 10:30 p.m. |
Created at: April 16, 2026, 11:39 a.m.