Triple
T14273265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vijfheerenlanden |
E353846
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Oosterwijk
Oosterwijk is a small settlement located in the municipality of Vijfheerenlanden in the province of Utrecht, the Netherlands.
|
E1554682
|
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: Oosterwijk | Statement: [Vijfheerenlanden, containsSettlement, Oosterwijk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oosterwijk Context triple: [Vijfheerenlanden, containsSettlement, Oosterwijk]
-
A.
Westwijk
Westwijk is a residential district in Amstelveen, Netherlands, served as the southern terminus of Amsterdam’s former metro line 51.
-
B.
Oosterhout
Oosterhout is a town and municipality in the southern Netherlands known for its historic monasteries and proximity to the city of Breda.
-
C.
Waalwijk
Waalwijk is a town and municipality in the southern Netherlands known historically for its leather and shoe industry.
-
D.
Zwijndrecht
Zwijndrecht is a Dutch town and municipality located in the western Netherlands, known for its position along the rivers near the city of Dordrecht.
-
E.
Steenwijk
Steenwijk is a historic town in the Dutch province of Overijssel, known for its medieval center and role as a regional hub in the north of the province.
- 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: Oosterwijk Triple: [Vijfheerenlanden, containsSettlement, Oosterwijk]
Generated description
Oosterwijk is a small settlement located in the municipality of Vijfheerenlanden in the province of Utrecht, the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oosterwijk Target entity description: Oosterwijk is a small settlement located in the municipality of Vijfheerenlanden in the province of Utrecht, the Netherlands.
-
A.
Westwijk
Westwijk is a residential district in Amstelveen, Netherlands, served as the southern terminus of Amsterdam’s former metro line 51.
-
B.
Oosterhout
Oosterhout is a town and municipality in the southern Netherlands known for its historic monasteries and proximity to the city of Breda.
-
C.
Waalwijk
Waalwijk is a town and municipality in the southern Netherlands known historically for its leather and shoe industry.
-
D.
Zwijndrecht
Zwijndrecht is a Dutch town and municipality located in the western Netherlands, known for its position along the rivers near the city of Dordrecht.
-
E.
Steenwijk
Steenwijk is a historic town in the Dutch province of Overijssel, known for its medieval center and role as a regional hub in the north of the province.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6582f5308190969f4cfd724d9139 |
completed | April 14, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b9e768ed481909979120c4c46a74d |
completed | May 18, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_6a0b9efdb6b48190ba595ec86e24bae8 |
completed | May 18, 2026, 11:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b9fe3dc88819088f23de56ac84062 |
completed | May 18, 2026, 11:25 p.m. |
Created at: April 10, 2026, 1:10 a.m.