Triple
T6860052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noordenveld |
E158251
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object |
Westervelde
Westervelde is a small village in the Dutch province of Drenthe, known for its rural character and historic farms.
|
E619451
|
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: Westervelde | Statement: [Noordenveld, hasVillage, Westervelde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Westervelde Context triple: [Noordenveld, hasVillage, Westervelde]
-
A.
Bezuidenhout
Bezuidenhout is a neighborhood in The Hague, Netherlands, known for its residential character and proximity to major government and business districts.
-
B.
Geervliet
Geervliet is a small historic town in the western Netherlands, located in the province of South Holland.
-
C.
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.
-
D.
Veeningen
Veeningen is a small village in the Dutch province of Drenthe, located within the municipality of De Wolden.
-
E.
Zwanenburg
Zwanenburg is a village in North Holland, Netherlands, situated near Amsterdam and known as a suburban residential community within the Haarlemmermeer municipality.
- 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: Westervelde Triple: [Noordenveld, hasVillage, Westervelde]
Generated description
Westervelde is a small village in the Dutch province of Drenthe, known for its rural character and historic farms.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Westervelde Target entity description: Westervelde is a small village in the Dutch province of Drenthe, known for its rural character and historic farms.
-
A.
Bezuidenhout
Bezuidenhout is a neighborhood in The Hague, Netherlands, known for its residential character and proximity to major government and business districts.
-
B.
Geervliet
Geervliet is a small historic town in the western Netherlands, located in the province of South Holland.
-
C.
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.
-
D.
Veeningen
chosen
Veeningen is a small village in the Dutch province of Drenthe, located within the municipality of De Wolden.
-
E.
Zwanenburg
Zwanenburg is a village in North Holland, Netherlands, situated near Amsterdam and known as a suburban residential community within the Haarlemmermeer municipality.
- F. None of above.
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_69c68830cdbc8190a8301c7a9d9f651a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8737fac81909fc546ca2bf6a278 |
completed | March 27, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfeaaf9ea0819091bd0981068e5a72 |
completed | April 3, 2026, 4:28 p.m. |
| NEDg | Description generation | batch_69cfec2bde708190b73c7672625e912d |
completed | April 3, 2026, 4:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfee809b54819089d4d0d5c555e428 |
completed | April 3, 2026, 4:44 p.m. |
Created at: March 27, 2026, 2:21 p.m.