Triple
T2355190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amsterdam metropolitan area |
E47536
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Uithoorn |
E62757
|
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: Uithoorn | Statement: [Amsterdam metropolitan area, hasPart, Uithoorn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uithoorn Context triple: [Amsterdam metropolitan area, hasPart, Uithoorn]
-
A.
Uithoorn
chosen
Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
-
B.
Nieuwenhoorn
Nieuwenhoorn is a village in the western Netherlands that forms part of the province of South Holland.
-
C.
Oosterwijtwerd
Oosterwijtwerd is a small village in the province of Groningen in the northern Netherlands, known for its rural character and historic church.
-
D.
Oosterhout
Oosterhout is a town and municipality in the southern Netherlands known for its historic monasteries and proximity to the city of Breda.
-
E.
Deurne
Deurne is a district of the Belgian city of Antwerp, known for its residential neighborhoods and green spaces such as Rivierenhof park.
- 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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc6fd4e488190b763a1c9b5d18f2c |
completed | March 7, 2026, 6:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfc83116408190b558cb3eb5dc678f |
completed | March 22, 2026, 10:45 a.m. |
Created at: March 4, 2026, 7:54 p.m.