Triple
T14273270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vijfheerenlanden |
E353846
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Asperen
Asperen is a small historic town in the Dutch province of Gelderland, known for its traditional architecture and riverside setting.
|
E1088968
|
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: Asperen | Statement: [Vijfheerenlanden, containsSettlement, Asperen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asperen Context triple: [Vijfheerenlanden, containsSettlement, Asperen]
-
A.
Gaasperdam
Gaasperdam is a residential neighborhood in the southeastern part of Amsterdam known for its green spaces and proximity to the Gaasperplas recreational area.
-
B.
Passewaaij
Passewaaij is a residential neighborhood of the Dutch city of Tiel, located in the province of Gelderland.
-
C.
Bezuidenhout
Bezuidenhout is a neighborhood in The Hague, Netherlands, known for its residential character and proximity to major government and business districts.
-
D.
Westzaan
Westzaan is a village in the Dutch province of North Holland, known for its historic peatlands and traditional Zaan region architecture.
-
E.
Veenendaal
Veenendaal is a Dutch town and municipality in the central Netherlands, known for its location between Utrecht and the Veluwe and its mix of residential, commercial, and light industrial areas.
- 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: Asperen Triple: [Vijfheerenlanden, containsSettlement, Asperen]
Generated description
Asperen is a small historic town in the Dutch province of Gelderland, known for its traditional architecture and riverside setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Asperen Target entity description: Asperen is a small historic town in the Dutch province of Gelderland, known for its traditional architecture and riverside setting.
-
A.
Gaasperdam
Gaasperdam is a residential neighborhood in the southeastern part of Amsterdam known for its green spaces and proximity to the Gaasperplas recreational area.
-
B.
Passewaaij
Passewaaij is a residential neighborhood of the Dutch city of Tiel, located in the province of Gelderland.
-
C.
Bezuidenhout
Bezuidenhout is a neighborhood in The Hague, Netherlands, known for its residential character and proximity to major government and business districts.
-
D.
Westzaan
Westzaan is a village in the Dutch province of North Holland, known for its historic peatlands and traditional Zaan region architecture.
-
E.
Veenendaal
Veenendaal is a Dutch town and municipality in the central Netherlands, known for its location between Utrecht and the Veluwe and its mix of residential, commercial, and light industrial areas.
- 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_69fd326a5aec8190b139a0c49fd43705 |
completed | May 8, 2026, 12:46 a.m. |
| NEDg | Description generation | batch_69fd333b49a88190834a5f45fa0fc6c2 |
completed | May 8, 2026, 12:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd33bdc8d08190be11f5ccf259cd6a |
completed | May 8, 2026, 12:52 a.m. |
Created at: April 10, 2026, 1:10 a.m.