Triple
T20572156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | municipality of Katwijk |
E505127
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
De Zanderij
De Zanderij is a neighborhood or area within the Dutch coastal municipality of Katwijk, known for its residential character and local amenities.
|
E1439097
|
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 Zanderij | Statement: [municipality of Katwijk, hasPart, De Zanderij]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De Zanderij Context triple: [municipality of Katwijk, hasPart, De Zanderij]
-
A.
Zanderij
Zanderij is a village in Suriname best known for hosting the country’s main international airport, Johan Adolf Pengel International Airport.
-
B.
De Adelaarshorst
De Adelaarshorst is a historic football stadium in Deventer, Netherlands, best known as the home ground of Go Ahead Eagles.
-
C.
De Akkers
De Akkers is a metro station in Spijkenisse, Netherlands, serving as a terminus on the Rotterdam Metro network.
-
D.
De Ravense Hoek
De Ravense Hoek is a residential neighborhood in the Dutch coastal town of Hellevoetsluis in South Holland.
-
E.
Dorp aan de rivier
Dorp aan de rivier is a 1958 Dutch drama film directed by Fons Rademakers, regarded as a classic of Dutch cinema and one of the country's early internationally acclaimed films.
- 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 Zanderij Triple: [municipality of Katwijk, hasPart, De Zanderij]
Generated description
De Zanderij is a neighborhood or area within the Dutch coastal municipality of Katwijk, known for its residential character and local amenities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: De Zanderij Target entity description: De Zanderij is a neighborhood or area within the Dutch coastal municipality of Katwijk, known for its residential character and local amenities.
-
A.
Zanderij
Zanderij is a village in Suriname best known for hosting the country’s main international airport, Johan Adolf Pengel International Airport.
-
B.
De Adelaarshorst
De Adelaarshorst is a historic football stadium in Deventer, Netherlands, best known as the home ground of Go Ahead Eagles.
-
C.
De Akkers
De Akkers is a metro station in Spijkenisse, Netherlands, serving as a terminus on the Rotterdam Metro network.
-
D.
De Ravense Hoek
De Ravense Hoek is a residential neighborhood in the Dutch coastal town of Hellevoetsluis in South Holland.
-
E.
Dorp aan de rivier
Dorp aan de rivier is a 1958 Dutch drama film directed by Fons Rademakers, regarded as a classic of Dutch cinema and one of the country's early internationally acclaimed films.
- 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_69e0b4b721588190993ac7b0a9be2736 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a905b1288190bbad9aa14362bb97 |
completed | April 20, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08ace448d48190a2a225a3cb4b5cf5 |
completed | May 16, 2026, 5:44 p.m. |
| NEDg | Description generation | batch_6a08ae5320d08190b8ce6fbe4909af18 |
completed | May 16, 2026, 5:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08aed4a9908190bf7bd5f0147ff6f2 |
completed | May 16, 2026, 5:52 p.m. |
Created at: April 16, 2026, 11:39 a.m.