Triple
T8864043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bodegraven-Reeuwijk |
E210967
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Waarder |
E426806
|
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: Waarder | Statement: [Bodegraven-Reeuwijk, containsSettlement, Waarder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waarder Context triple: [Bodegraven-Reeuwijk, containsSettlement, Waarder]
-
A.
Waarder
chosen
Waarder is a small village in the Dutch province of South Holland, known for its rural character and traditional polder landscape.
-
B.
Weerde
Weerde is a village in the Flemish Brabant province of Belgium, known as a residential suburb within the municipality of Zemst.
-
C.
Zijdelwaard
Zijdelwaard is a residential neighborhood in the town of Uithoorn in the province of North Holland, Netherlands.
-
D.
Wilrijk
Wilrijk is a southern district of the Belgian city of Antwerp, known for its residential character and green spaces.
-
E.
De Wolden
De Wolden is a rural municipality in the northeastern Netherlands known for its scenic landscapes, small villages, and agricultural character.
- 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_69ca838bbddc8190ab546d737e5d350f |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc610416b48190a26f0c457089ffca |
completed | April 1, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa0caccd88190b6464f53d0239e47 |
completed | April 3, 2026, 11:13 a.m. |
Created at: March 30, 2026, 6:51 p.m.