Triple
T17134572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ninove |
E415802
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Denderstreek |
E419077
|
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: Denderstreek | Statement: [Ninove, locatedIn, Denderstreek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denderstreek Context triple: [Ninove, locatedIn, Denderstreek]
-
A.
Denderstreek
chosen
Denderstreek is a region in Belgium known for its towns and landscapes along the River Dender, featuring a mix of historic urban centers and rural scenery.
-
B.
Cromstrijen
Cromstrijen was a former municipality in the Dutch province of South Holland, comprising several villages on the island of Hoeksche Waard.
-
C.
Strandvliet
Strandvliet is a metro station in Amsterdam that serves passengers on the city's rapid transit network.
-
D.
Bollenstreek
Bollenstreek is a coastal region in the western Netherlands famous for its extensive flower bulb fields and springtime tulip displays.
-
E.
Brabantse Wal
Brabantse Wal is a distinctive ridge and landscape region in the southwest of the Netherlands, known for its steep escarpment, varied nature reserves, and historic towns.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f02dca8881908efd73741397a207 |
completed | April 18, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a014150d63081908a5614f85694e57a |
completed | May 11, 2026, 2:39 a.m. |
Created at: April 10, 2026, 5:36 a.m.