Triple
T23006096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | municipality of Moerdijk |
E572772
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Klundert |
—
|
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: Klundert | Statement: [municipality of Moerdijk, contains, Klundert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Klundert Context triple: [municipality of Moerdijk, contains, Klundert]
-
A.
Klundert
chosen
Klundert is a small historic town in the Dutch province of North Brabant, known for its former fortifications and traditional architecture.
-
B.
Keijenborg
Keijenborg is a small village in the municipality of Bronckhorst in the province of Gelderland in the eastern Netherlands.
-
C.
Klier
Klier is a surname of German origin borne by various notable individuals across fields such as sports, arts, and academia.
-
D.
Kolderbos
Kolderbos is a residential district of the Belgian city of Genk, known for its post-war social housing and multicultural community.
-
E.
Koggenland
Koggenland is a rural municipality in the province of North Holland in the Netherlands, known for its agricultural landscape and historic villages.
- 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_69e245b6a3ac81908087599eefe3e365 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1835706dc8190b3f9743c0f336bb2 |
completed | April 29, 2026, 4:04 a.m. |
Created at: April 17, 2026, 3:51 p.m.