Triple
T14185490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nissewaard |
E351563
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Krekengebied
Krekengebied is a natural and recreational area in the Dutch municipality of Nissewaard, known for its creeks, greenery, and walking and cycling paths.
|
E1086245
|
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: Krekengebied | Statement: [Nissewaard, contains, Krekengebied]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krekengebied Context triple: [Nissewaard, contains, Krekengebied]
-
A.
Krimpenerwaard
Krimpenerwaard is a rural municipality in the Dutch province of South Holland, known for its polder landscapes, dikes, and traditional villages between the rivers Lek and Hollandse IJssel.
-
B.
Lemelerveld
Lemelerveld is a village in the Dutch province of Overijssel, situated in the Salland region.
-
C.
Zwiggelterveld
Zwiggelterveld is a small settlement in the Dutch province of Drenthe, located within the municipality of Midden-Drenthe.
-
D.
Beekkant
Beekkant is a Brussels Metro station that functions as a key interchange point in the western part of the city’s rapid transit network.
-
E.
Zandkreek
Zandkreek is a tidal waterway and former estuary in the Dutch province of Zeeland, known for its role in regional water management and coastal protection.
- 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: Krekengebied Triple: [Nissewaard, contains, Krekengebied]
Generated description
Krekengebied is a natural and recreational area in the Dutch municipality of Nissewaard, known for its creeks, greenery, and walking and cycling paths.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Krekengebied Target entity description: Krekengebied is a natural and recreational area in the Dutch municipality of Nissewaard, known for its creeks, greenery, and walking and cycling paths.
-
A.
Krimpenerwaard
Krimpenerwaard is a rural municipality in the Dutch province of South Holland, known for its polder landscapes, dikes, and traditional villages between the rivers Lek and Hollandse IJssel.
-
B.
Lemelerveld
Lemelerveld is a village in the Dutch province of Overijssel, situated in the Salland region.
-
C.
Zwiggelterveld
Zwiggelterveld is a small settlement in the Dutch province of Drenthe, located within the municipality of Midden-Drenthe.
-
D.
Beekkant
Beekkant is a Brussels Metro station that functions as a key interchange point in the western part of the city’s rapid transit network.
-
E.
Zandkreek
Zandkreek is a tidal waterway and former estuary in the Dutch province of Zeeland, known for its role in regional water management and coastal protection.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61cd5778819092a03597bcdcc182 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd19433dc08190b4d2f1aef1b2d67d |
completed | May 7, 2026, 10:59 p.m. |
| NEDg | Description generation | batch_69fd1ad65b608190b325c82347a3d8b3 |
completed | May 7, 2026, 11:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd1b68e8288190a9e9e3d855ed2719 |
completed | May 7, 2026, 11:08 p.m. |
Created at: April 10, 2026, 1:03 a.m.