Triple
T6860050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noordenveld |
E158251
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object |
Steenbergen
Steenbergen is a small village located in the municipality of Noordenveld in the Dutch province of Drenthe.
|
E691270
|
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: Steenbergen | Statement: [Noordenveld, hasVillage, Steenbergen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steenbergen Context triple: [Noordenveld, hasVillage, Steenbergen]
-
A.
Steenbergen
Steenbergen is a municipality and town in the Dutch province of North Brabant, known for its rural landscape and proximity to several major waterways.
-
B.
Koppenberg
The Koppenberg is a short but brutally steep cobbled hill in the Flemish Ardennes, famed as one of the most iconic and decisive climbs in professional cycling.
-
C.
Doorn Van Steyn
Doorn Van Steyn was a British ice skater and actress best known as the first wife of future James Bond star Roger Moore.
-
D.
Goudswaard
Goudswaard is a small village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
-
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: Steenbergen Triple: [Noordenveld, hasVillage, Steenbergen]
Generated description
Steenbergen is a small village located in the municipality of Noordenveld in the Dutch province of Drenthe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steenbergen Target entity description: Steenbergen is a small village located in the municipality of Noordenveld in the Dutch province of Drenthe.
-
A.
Steenbergen
Steenbergen is a municipality and town in the Dutch province of North Brabant, known for its rural landscape and proximity to several major waterways.
-
B.
Koppenberg
The Koppenberg is a short but brutally steep cobbled hill in the Flemish Ardennes, famed as one of the most iconic and decisive climbs in professional cycling.
-
C.
Doorn Van Steyn
Doorn Van Steyn was a British ice skater and actress best known as the first wife of future James Bond star Roger Moore.
-
D.
Goudswaard
Goudswaard is a small village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
-
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_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_69c9742fd0dc8190a154cf83c87eb508 |
completed | March 29, 2026, 6:49 p.m. |
| NEDg | Description generation | batch_69c9751e5e148190bf238d825501eccb |
completed | March 29, 2026, 6:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c9756a07088190a3bda04eb31016ea |
completed | March 29, 2026, 6:54 p.m. |
Created at: March 27, 2026, 2:21 p.m.