Triple
T4169561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ede |
E84526
|
entity |
| Predicate | hasNeighbouringMunicipality |
P224
|
FINISHED |
| Object |
Renswoude
Renswoude is a small rural municipality in the Dutch province of Utrecht, known for its historic estates and agricultural landscape.
|
E416817
|
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: Renswoude | Statement: [Ede, hasNeighbouringMunicipality, Renswoude]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Renswoude Context triple: [Ede, hasNeighbouringMunicipality, Renswoude]
-
A.
Rijnsaterwoude
Rijnsaterwoude is a small village in the Dutch province of South Holland, known for its rural character and location amid the lakes and polders of the Kaag en Braassem area.
-
B.
Biezelinge
Biezelinge is a small village in the Dutch province of Zeeland, known as the birthplace of former Prime Minister Jan Peter Balkenende.
-
C.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
D.
Westerwolde
Westerwolde is a rural region in the southeastern part of the Dutch province of Groningen, known for its wooded landscapes, historic villages, and nature reserves.
-
E.
Jacobswoude
Jacobswoude was a former municipality in the Dutch province of South Holland that later became part of the municipality of Kaag en Braassem.
- 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: Renswoude Triple: [Ede, hasNeighbouringMunicipality, Renswoude]
Generated description
Renswoude is a small rural municipality in the Dutch province of Utrecht, known for its historic estates and agricultural landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Renswoude Target entity description: Renswoude is a small rural municipality in the Dutch province of Utrecht, known for its historic estates and agricultural landscape.
-
A.
Rijnsaterwoude
Rijnsaterwoude is a small village in the Dutch province of South Holland, known for its rural character and location amid the lakes and polders of the Kaag en Braassem area.
-
B.
Biezelinge
Biezelinge is a small village in the Dutch province of Zeeland, known as the birthplace of former Prime Minister Jan Peter Balkenende.
-
C.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
D.
Westerwolde
Westerwolde is a rural region in the southeastern part of the Dutch province of Groningen, known for its wooded landscapes, historic villages, and nature reserves.
-
E.
Jacobswoude
Jacobswoude was a former municipality in the Dutch province of South Holland that later became part of the municipality of Kaag en Braassem.
- 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_69aed932cab48190b80ffe35f7029ae1 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02c730b081908b19e6a4aea1549b |
completed | March 9, 2026, 5:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f4c2c988190959496cc0cc31cac |
completed | March 14, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_69b57fe89ed0819089d7e56568755b1c |
completed | March 14, 2026, 3:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5805cb7e88190b2f6ed6a18de9319 |
completed | March 14, 2026, 3:35 p.m. |
Created at: March 9, 2026, 3:44 p.m.