Triple
T6035117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tilburg |
E134398
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object | Theo Weterings |
E554093
|
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: Theo Weterings | Statement: [Tilburg, hasMayor, Theo Weterings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Theo Weterings Context triple: [Tilburg, hasMayor, Theo Weterings]
-
A.
Theo Weterings
chosen
Theo Weterings is a Dutch politician who serves as the mayor of the municipality of Best in the Netherlands.
-
B.
Jos Wienen
Jos Wienen is a Dutch politician who serves as the mayor of the city of Haarlem in the Netherlands.
-
C.
Peter Noorwits
Peter Noorwits was a Dutch architect known for his work on prominent ecclesiastical buildings in the Netherlands, including the Nieuwe Kerk in The Hague.
-
D.
Chris de Weijer
Chris de Weijer is a Dutch architect best known as one of the founding partners of the internationally renowned architecture firm Mecanoo.
-
E.
Christian Huitema
Christian Huitema is a French computer scientist and Internet pioneer known for his influential work on networking protocols and IPv6 transition technologies.
- 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_69c00875db5c819099dd5bb833ec43c2 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056b33a7c8190ad6282286199b192 |
completed | March 22, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11388aec881908408d5844c96ea2d |
completed | March 23, 2026, 10:18 a.m. |
Created at: March 22, 2026, 4:08 p.m.