Triple
T22150889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonheiden |
E547408
|
entity |
| Predicate | hasMunicipalSeat |
P1474
|
FINISHED |
| Object | Bonheiden (town) |
—
|
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: Bonheiden (town) | Statement: [Bonheiden, hasMunicipalSeat, Bonheiden (town)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bonheiden (town) Context triple: [Bonheiden, hasMunicipalSeat, Bonheiden (town)]
-
A.
Bonheiden
chosen
Bonheiden is a municipality in the Belgian province of Antwerp, known as a residential community near the city of Mechelen.
-
B.
Welkenraedt town
Welkenraedt town is the central urban settlement and administrative hub of the municipality of Welkenraedt in the province of Liège, Belgium.
-
C.
Neidingen
Neidingen is a small locality in present-day Germany historically noted as the place where the Carolingian emperor Charles the Fat died.
-
D.
Hedingen
Hedingen is a small municipality in the canton of Zurich in Switzerland, situated in the district of Affoltern within the Albis region.
-
E.
Bollodingen
Bollodingen is a small village in the canton of Bern, Switzerland, situated in the Oberaargau region.
- 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_69e11e3b52088190ad5df386d01eb2fb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129f37dac8190a7cecb12f4271515 |
completed | April 28, 2026, 9:43 p.m. |
Created at: April 16, 2026, 8:33 p.m.