Triple
T11805834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nuenen |
E280743
|
entity |
| Predicate | hasOfficialName |
P66
|
FINISHED |
| Object | Nuenen |
E280743
|
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: Nuenen | Statement: [Nuenen, hasOfficialName, Nuenen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nuenen Context triple: [Nuenen, hasOfficialName, Nuenen]
-
A.
Nuenen
chosen
Nuenen is a village in the southern Netherlands, known for its association with both the painter Vincent van Gogh and computer scientist Edsger W. Dijkstra.
-
B.
Schoonhoven
Schoonhoven is a historic Dutch town in South Holland, renowned for its silver craftsmanship and picturesque riverside setting.
-
C.
Leiderdorp
Leiderdorp is a town and municipality in the western Netherlands, situated near the city of Leiden in the province of South Holland.
-
D.
Roosendaal
Roosendaal is a city in the southern Netherlands known as a regional center for commerce and transport near the Belgian border.
-
E.
Barendrecht
Barendrecht is a suburban town in the western Netherlands, located just south of Rotterdam and known for its residential character and logistics industry.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5c8324481909a54852a9bb714e0 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0167369d9481909015c34d475fac14 |
completed | May 11, 2026, 5:20 a.m. |
Created at: April 8, 2026, 9:42 p.m.