Triple
T17409705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tielt-Winge |
E423314
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Diest |
—
|
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: Diest | Statement: [Tielt-Winge, locatedNear, Diest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diest Context triple: [Tielt-Winge, locatedNear, Diest]
-
A.
Diest
chosen
Diest is a historic city in Belgium known for its well-preserved medieval center, beguinage, and role as a former residence of the House of Orange-Nassau.
-
B.
Turnhout
Turnhout is a historic city in northern Belgium known for its playing card industry, cultural heritage, and role as a regional center in the Kempen area.
-
C.
Nunspeet
Nunspeet is a Dutch town and municipality on the Veluwe known for its forests, heathlands, and role as a popular nature and holiday destination.
-
D.
Deurne
Deurne is a municipality in the Dutch province of North Brabant, known for its rural character and historic peat extraction areas.
-
E.
Deurne
Deurne is a district of the Belgian city of Antwerp, known for its residential neighborhoods and green spaces such as Rivierenhof park.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b0990f48190b62d73087ae1a0d7 |
completed | April 19, 2026, 2:16 a.m. |
Created at: April 10, 2026, 5:46 a.m.