Triple
T3004395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teylingen |
E81864
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object |
Noordwijkerhout
Noordwijkerhout is a town in South Holland, Netherlands, known for its bulb flower fields and role in the Dutch "Dune and Bulb Region."
|
E690867
|
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: Noordwijkerhout | Statement: [Teylingen, borderedBy, Noordwijkerhout]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noordwijkerhout Context triple: [Teylingen, borderedBy, Noordwijkerhout]
-
A.
Oosterhout
Oosterhout is a town and municipality in the southern Netherlands known for its historic monasteries and proximity to the city of Breda.
-
B.
Houten
Houten is a Dutch town in the province of Utrecht, known for its bicycle-friendly urban design and as the home of the Royal Dutch Mint.
-
C.
Bloemendaal
Bloemendaal is a coastal municipality in North Holland, Netherlands, known for its beaches, dunes, and affluent residential areas.
-
D.
Bodegraven-Reeuwijk
Bodegraven-Reeuwijk is a Dutch municipality known for its rural landscapes, waterways, and cheese-producing heritage in the western Netherlands.
-
E.
Noordwijk
Noordwijk is a coastal town in the western Netherlands known for its North Sea beaches, flower bulb fields, and the nearby European Space Agency’s ESTEC facility.
- 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: Noordwijkerhout Triple: [Teylingen, borderedBy, Noordwijkerhout]
Generated description
Noordwijkerhout is a town in South Holland, Netherlands, known for its bulb flower fields and role in the Dutch "Dune and Bulb Region."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Noordwijkerhout Target entity description: Noordwijkerhout is a town in South Holland, Netherlands, known for its bulb flower fields and role in the Dutch "Dune and Bulb Region."
-
A.
Oosterhout
Oosterhout is a town and municipality in the southern Netherlands known for its historic monasteries and proximity to the city of Breda.
-
B.
Houten
Houten is a Dutch town in the province of Utrecht, known for its bicycle-friendly urban design and as the home of the Royal Dutch Mint.
-
C.
Bloemendaal
Bloemendaal is a coastal municipality in North Holland, Netherlands, known for its beaches, dunes, and affluent residential areas.
-
D.
Bodegraven-Reeuwijk
Bodegraven-Reeuwijk is a Dutch municipality known for its rural landscapes, waterways, and cheese-producing heritage in the western Netherlands.
-
E.
Noordwijk
Noordwijk is a coastal town in the western Netherlands known for its North Sea beaches, flower bulb fields, and the nearby European Space Agency’s ESTEC facility.
- 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_69ad8b1c4de88190a83b7cefaa1f2842 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a149b248190ac4f11afc4871cc1 |
completed | March 8, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c95675f24c81909f9c14e29a79c157 |
completed | March 29, 2026, 4:42 p.m. |
| NEDg | Description generation | batch_69c95a4e0fd8819099da4b3f3ced733c |
completed | March 29, 2026, 4:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c95aa66a6c819091116c4b83082dd9 |
completed | March 29, 2026, 5 p.m. |
Created at: March 8, 2026, 2:59 p.m.