Triple
T1090944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Holland |
E24160
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Purmerend
Purmerend is a Dutch city and municipality located in the province of North Holland, known historically as a market town north of Amsterdam.
|
E484991
|
NE FINISHED |
How this triple was built (4 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: [North Holland, contains, Purmerend]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Purmerend Context triple: [North Holland, contains, Purmerend]
-
A.
Hellevoetsluis
Hellevoetsluis is a historic Dutch port town known for its maritime heritage and coastal location in the western Netherlands.
-
B.
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.
-
C.
Alkmaar
Alkmaar is a historic city in the Netherlands, renowned for its traditional cheese market and well-preserved medieval center.
-
D.
Katwijk
Katwijk is a coastal town and municipality in the western Netherlands known for its North Sea beaches and historic fishing heritage.
-
E.
Alblasserdam
Alblasserdam is a town and municipality in the western Netherlands, situated along the Noord River and known for its proximity to the Kinderdijk windmills.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Purmerend Triple: [North Holland, contains, Purmerend]
Generated description
Purmerend is a Dutch city and municipality located in the province of North Holland, known historically as a market town north of Amsterdam.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Purmerend Target entity description: Purmerend is a Dutch city and municipality located in the province of North Holland, known historically as a market town north of Amsterdam.
-
A.
Hellevoetsluis
Hellevoetsluis is a historic Dutch port town known for its maritime heritage and coastal location in the western Netherlands.
-
B.
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.
-
C.
Alkmaar
Alkmaar is a historic city in the Netherlands, renowned for its traditional cheese market and well-preserved medieval center.
-
D.
Katwijk
Katwijk is a coastal town and municipality in the western Netherlands known for its North Sea beaches and historic fishing heritage.
-
E.
Alblasserdam
Alblasserdam is a town and municipality in the western Netherlands, situated along the Noord River and known for its proximity to the Kinderdijk windmills.
- F. None of above. chosen
Provenance (5 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_69a49404428c819092dcc9632f5f7b8b |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b980c8448190b08c3a9a7e7f4e85 |
completed | March 1, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be89b0441881908b87c7a62434e79a |
completed | March 21, 2026, 12:06 p.m. |
| NEDg | Description generation | batch_69be8c55934c8190a5b693a9b71fd935 |
completed | March 21, 2026, 12:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be8cc26f48819094742f965919fec3 |
completed | March 21, 2026, 12:19 p.m. |
Created at: March 1, 2026, 7:42 p.m.