Triple
T22564320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pittelo |
E557903
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | city of Assen |
—
|
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: city of Assen | Statement: [Pittelo, partOf, city of Assen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Assen Context triple: [Pittelo, partOf, city of Assen]
-
A.
city of Assen
chosen
The city of Assen is the capital of the Dutch province of Drenthe, known for hosting the annual TT Assen motorcycle Grand Prix.
-
B.
Apeldoorn, Netherlands
Apeldoorn is a city in the province of Gelderland in the central Netherlands, known for the royal palace Het Loo and its surrounding forests and parks.
-
C.
Amersfoort, Netherlands
Amersfoort, Netherlands is a historic Dutch city in the province of Utrecht, known for its well-preserved medieval center and as the birthplace of painter Piet Mondrian.
-
D.
Alkmaar
Alkmaar is a historic city in the Netherlands, renowned for its traditional cheese market and well-preserved medieval center.
-
E.
Hoorn, Netherlands
Hoorn, Netherlands is a historic Dutch port city in North Holland known for its role in the Dutch Golden Age and as a former base of the Dutch East India Company.
- 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fa8d8388190856198547d56dce6 |
completed | April 29, 2026, 1:32 a.m. |
Created at: April 16, 2026, 8:52 p.m.