Triple
T16804777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beek-Ubbergen |
E408450
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Beek
Beek is a village in the Dutch province of Gelderland, known for its scenic location near the hills and forests of the Nijmegen area.
|
E1235705
|
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: Beek | Statement: [Beek-Ubbergen, hasPart, Beek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beek Context triple: [Beek-Ubbergen, hasPart, Beek]
-
A.
Beek
Beek is a small municipality in the Dutch province of Limburg, known for hosting Maastricht Aachen Airport and its convenient location near the borders with Belgium and Germany.
-
B.
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.
-
C.
Zuunbeek
Zuunbeek is a small stream in Belgium that serves as a right-bank tributary of the River Dender.
-
D.
Vierlingsbeek
Vierlingsbeek is a village in the Dutch province of North Brabant, known for its rural character and location along the river Maas.
-
E.
Everbeek
Everbeek is a village in the municipality of Brakel in East Flanders, Belgium, known for its rural landscape and wooded surroundings.
- 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: Beek Triple: [Beek-Ubbergen, hasPart, Beek]
Generated description
Beek is a village in the Dutch province of Gelderland, known for its scenic location near the hills and forests of the Nijmegen area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beek Target entity description: Beek is a village in the Dutch province of Gelderland, known for its scenic location near the hills and forests of the Nijmegen area.
-
A.
Beek
Beek is a small municipality in the Dutch province of Limburg, known for hosting Maastricht Aachen Airport and its convenient location near the borders with Belgium and Germany.
-
B.
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.
-
C.
Zuunbeek
Zuunbeek is a small stream in Belgium that serves as a right-bank tributary of the River Dender.
-
D.
Vierlingsbeek
Vierlingsbeek is a village in the Dutch province of North Brabant, known for its rural character and location along the river Maas.
-
E.
Everbeek
Everbeek is a village in the municipality of Brakel in East Flanders, Belgium, known for its rural landscape and wooded surroundings.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2cb68508190a05749bad68f7b43 |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b28d3a808190bc94a4f09a10da7e |
completed | May 10, 2026, 4:30 p.m. |
| NEDg | Description generation | batch_6a00b6c7fa8081909792e2607eb1ff73 |
completed | May 10, 2026, 4:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00b762cd3c8190aaf47474f60a6181 |
completed | May 10, 2026, 4:50 p.m. |
Created at: April 10, 2026, 5:22 a.m.