Triple
T22939699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibbenbüren |
E569686
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object | Hellendoorn |
—
|
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: Hellendoorn | Statement: [Ibbenbüren, twinTown, Hellendoorn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hellendoorn Context triple: [Ibbenbüren, twinTown, Hellendoorn]
-
A.
Hellendoorn
chosen
Hellendoorn is a municipality in the Dutch province of Overijssel, known for its scenic landscapes, including the Sallandse Heuvelrug National Park, and its historic villages.
-
B.
Korendijk
Korendijk was a former municipality in the Dutch province of South Holland that later became part of the larger municipality of Hoeksche Waard.
-
C.
Poortvliet
Poortvliet is a village in the Dutch province of Zeeland, located on the island of Tholen.
-
D.
Steendam
Steendam is a small village in the province of Groningen in the Netherlands, known for its rural setting near the Schildmeer lake.
-
E.
Bergvliet
Bergvliet is a quiet, predominantly residential suburb in Cape Town known for its family-friendly atmosphere, schools, and tree-lined streets.
- 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_69e24590862c8190858f180ad302adab |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1813844b88190b05d3829b0c423c4 |
completed | April 29, 2026, 3:55 a.m. |
Created at: April 17, 2026, 3:45 p.m.