Triple
T2355186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amsterdam metropolitan area |
E47536
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Purmerend |
E484991
|
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: Purmerend | Statement: [Amsterdam metropolitan area, hasPart, Purmerend]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Purmerend Context triple: [Amsterdam metropolitan area, hasPart, Purmerend]
-
A.
Purmerend
chosen
Purmerend is a Dutch city and municipality located in the province of North Holland, known historically as a market town north of Amsterdam.
-
B.
Hellevoetsluis
Hellevoetsluis is a historic Dutch port town known for its maritime heritage and coastal location in the western Netherlands.
-
C.
IJmuiden
IJmuiden is a Dutch port and industrial town on the North Sea coast, known for its major fishing harbor, steel industry, and sea locks connecting to the North Sea Canal.
-
D.
Zaandam
Zaandam is a city in the North Holland province of the Netherlands, known for its historic windmills, traditional wooden houses, and proximity to Amsterdam.
-
E.
Alkmaar
Alkmaar is a historic city in the Netherlands, renowned for its traditional cheese market and well-preserved medieval center.
- 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_69c86117b56881909168f39747504797 |
completed | March 28, 2026, 11:15 p.m. |
Created at: March 4, 2026, 7:54 p.m.