Triple
T6925803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texel |
E160304
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
De Waal
De Waal is a small village on the Dutch Wadden Island of Texel in the province of North Holland, known for its rural character and traditional island architecture.
|
E629830
|
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: De Waal | Statement: [Texel, containsSettlement, De Waal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De Waal Context triple: [Texel, containsSettlement, De Waal]
-
A.
De Wit
De Wit is a Dutch surname commonly borne by individuals of Dutch origin and often associated with historical figures from the Netherlands.
-
B.
Scherpenzeel
Scherpenzeel is a small Dutch municipality in the province of Gelderland, known for its rural character and historic village center.
-
C.
Van der Madeweg
Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
-
D.
Rooseveldt
Rooseveldt is an alternative spelling variant of the surname Roosevelt, most famously associated with U.S. Presidents Theodore and Franklin D. Roosevelt.
-
E.
Goudswaard
Goudswaard is a small village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
- 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: De Waal Triple: [Texel, containsSettlement, De Waal]
Generated description
De Waal is a small village on the Dutch Wadden Island of Texel in the province of North Holland, known for its rural character and traditional island architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: De Waal Target entity description: De Waal is a small village on the Dutch Wadden Island of Texel in the province of North Holland, known for its rural character and traditional island architecture.
-
A.
De Wit
De Wit is a Dutch surname commonly borne by individuals of Dutch origin and often associated with historical figures from the Netherlands.
-
B.
Scherpenzeel
Scherpenzeel is a small Dutch municipality in the province of Gelderland, known for its rural character and historic village center.
-
C.
Van der Madeweg
Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
-
D.
Rooseveldt
Rooseveldt is an alternative spelling variant of the surname Roosevelt, most famously associated with U.S. Presidents Theodore and Franklin D. Roosevelt.
-
E.
Goudswaard
Goudswaard is a small village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
- 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_69c6884d350081908d8a970e4d40ad78 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da1aa9c48190b63a04be2ed9e266 |
completed | March 27, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7513fddd88190b99c4b7e3364d218 |
completed | March 28, 2026, 3:55 a.m. |
| NEDg | Description generation | batch_69c7523737e48190b2ad3e7bea02878d |
completed | March 28, 2026, 3:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c752eb3e1c8190bad35727e573c41f |
completed | March 28, 2026, 4:02 a.m. |
Created at: March 27, 2026, 2:27 p.m.