Triple
T22011004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoogstraten |
E543571
|
entity |
| Predicate | hasMunicipalDistrict |
P78738
|
FINISHED |
| Object | Meer |
—
|
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: Meer | Statement: [Hoogstraten, hasMunicipalDistrict, Meer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meer Context triple: [Hoogstraten, hasMunicipalDistrict, Meer]
-
A.
Meer
Meer is a surname of South Asian origin borne by numerous individuals, including notable figures in politics, academia, and the arts.
-
B.
Meer
chosen
Meer is a village in the municipality of Hoogstraten in northern Belgium, close to the Dutch border.
-
C.
Veerse Meer
Veerse Meer is a coastal lagoon and recreational lake in the Dutch province of Zeeland, popular for water sports and nature conservation.
-
D.
ter Meer
Ter Meer is a German surname most notably associated with Fritz ter Meer, a chemist and industrialist involved in the leadership of IG Farben.
-
E.
Hollands Diep
Hollands Diep is a broad estuarine river and former sea arm in the southwestern Netherlands that forms part of the Rhine–Meuse–Scheldt delta system.
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a4338c8190836074d21bfbaf78 |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:22 p.m.