Triple
T21132090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uden |
E520711
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Nistelrode
Nistelrode is a village in the province of North Brabant in the southern Netherlands.
|
E1468324
|
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: Nistelrode | Statement: [Uden, locatedNear, Nistelrode]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nistelrode Context triple: [Uden, locatedNear, Nistelrode]
-
A.
Haasrode
Haasrode is a village in the Flemish Brabant province of Belgium, known for its rural character and proximity to the city of Leuven.
-
B.
De Heurne
De Heurne is a small village in the Dutch province of Gelderland, located in the municipality of Aalten near the German border.
-
C.
Grobbendonk
Grobbendonk is a municipality in the Belgian province of Antwerp, known as the birthplace of legendary cyclist Rik Van Looy.
-
D.
Beelen
Beelen is a small municipality in the German state of North Rhine-Westphalia, known for its rural character and location within the Münsterland region.
-
E.
Saint-Josse-ten-Noode
Saint-Josse-ten-Noode is a densely populated municipality in the Brussels-Capital Region of Belgium, known for its multicultural character and central urban location.
- 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: Nistelrode Triple: [Uden, locatedNear, Nistelrode]
Generated description
Nistelrode is a village in the province of North Brabant in the southern Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nistelrode Target entity description: Nistelrode is a village in the province of North Brabant in the southern Netherlands.
-
A.
Haasrode
Haasrode is a village in the Flemish Brabant province of Belgium, known for its rural character and proximity to the city of Leuven.
-
B.
De Heurne
De Heurne is a small village in the Dutch province of Gelderland, located in the municipality of Aalten near the German border.
-
C.
Grobbendonk
Grobbendonk is a municipality in the Belgian province of Antwerp, known as the birthplace of legendary cyclist Rik Van Looy.
-
D.
Beelen
Beelen is a small municipality in the German state of North Rhine-Westphalia, known for its rural character and location within the Münsterland region.
-
E.
Saint-Josse-ten-Noode
Saint-Josse-ten-Noode is a densely populated municipality in the Brussels-Capital Region of Belgium, known for its multicultural character and central urban location.
- 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_69e0b50b53048190ae34e8abbe3c5ada |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e723574b1481909fe9bebc83f1f3ce |
completed | April 21, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0965f1fb2c8190b66ee5e64cc98aa4 |
completed | May 17, 2026, 6:53 a.m. |
| NEDg | Description generation | batch_6a0966f894d48190b6841c35a9aab417 |
completed | May 17, 2026, 6:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a096adfd4248190a26c513278e7b334 |
completed | May 17, 2026, 7:14 a.m. |
Created at: April 16, 2026, 2:56 p.m.