Triple
T15083003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moerdijk |
E360196
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Zevenbergen
Zevenbergen is a town in the Dutch province of North Brabant, known historically for its peat extraction and as part of the municipality of Moerdijk.
|
E1138231
|
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: Zevenbergen | Statement: [Moerdijk, containsSettlement, Zevenbergen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zevenbergen Context triple: [Moerdijk, containsSettlement, Zevenbergen]
-
A.
Zandbergen
Zandbergen is a village in East Flanders, Belgium, that forms part of the municipality of Geraardsbergen.
-
B.
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.
-
C.
Steenbergen
Steenbergen is a small village located in the municipality of Noordenveld in the Dutch province of Drenthe.
-
D.
De Vijverberg
De Vijverberg is a football stadium in Doetinchem, Netherlands, best known as the home ground of the club De Graafschap.
-
E.
Vollenhoven
Vollenhoven is a Dutch surname most notably associated with philosopher D. H. Th. Vollenhoven, a key figure in Reformational philosophy.
- 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: Zevenbergen Triple: [Moerdijk, containsSettlement, Zevenbergen]
Generated description
Zevenbergen is a town in the Dutch province of North Brabant, known historically for its peat extraction and as part of the municipality of Moerdijk.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zevenbergen Target entity description: Zevenbergen is a town in the Dutch province of North Brabant, known historically for its peat extraction and as part of the municipality of Moerdijk.
-
A.
Zandbergen
Zandbergen is a village in East Flanders, Belgium, that forms part of the municipality of Geraardsbergen.
-
B.
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.
-
C.
Steenbergen
Steenbergen is a small village located in the municipality of Noordenveld in the Dutch province of Drenthe.
-
D.
De Vijverberg
De Vijverberg is a football stadium in Doetinchem, Netherlands, best known as the home ground of the club De Graafschap.
-
E.
Vollenhoven
Vollenhoven is a Dutch surname most notably associated with philosopher D. H. Th. Vollenhoven, a key figure in Reformational philosophy.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0027450a48190a84588b6aaf84ebf |
completed | April 15, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7e188448190b855ace5ab390646 |
completed | May 9, 2026, 4:28 a.m. |
| NEDg | Description generation | batch_69feb99b6a108190ba389703bc123e17 |
completed | May 9, 2026, 4:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feba50cd3c81909c4c14c6a7510dd4 |
completed | May 9, 2026, 4:38 a.m. |
Created at: April 10, 2026, 3:03 a.m.