Triple
T20141764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wanroij (former municipality) |
E491184
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Wanroij |
—
|
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: Wanroij | Statement: [Wanroij (former municipality), containsSettlement, Wanroij]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wanroij Context triple: [Wanroij (former municipality), containsSettlement, Wanroij]
-
A.
Wanroij
chosen
Wanroij is a village in the Dutch province of North Brabant, known for its rural character and location within the municipality of Land van Cuijk.
-
B.
Wangtu
Wangtu is a small settlement in the Kinnaur district of Himachal Pradesh, India, situated along the Sutlej River in the Himalayan region.
-
C.
Wansin
Wansin is a village in the municipality of Hannut in the province of Liège, Belgium.
-
D.
Wanurejo
Wanurejo is a village in Central Java, Indonesia, known for its proximity to the Borobudur temple complex and for encompassing the historic Pawon Temple.
-
E.
Wanano
Wanano is an indigenous Tucanoan language spoken by the Wanano people of the northwest Amazon region in Brazil and Colombia.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679b179c8190a9511df8ed82098a |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:33 p.m.