Triple
T7503712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veghel |
E177331
|
entity |
| Predicate | hasHospital |
P105
|
FINISHED |
| Object |
Bernhoven (former location)
Bernhoven (former location) refers to the former hospital facility that once served the town of Veghel in the Netherlands before its services were relocated or reorganized.
|
E668330
|
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: Bernhoven (former location) | Statement: [Veghel, hasHospital, Bernhoven (former location)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bernhoven (former location) Context triple: [Veghel, hasHospital, Bernhoven (former location)]
-
A.
Werthhoven
Werthhoven is a village-level district within the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
B.
Badbergen
Badbergen is a municipality in Lower Saxony, Germany, known for its rural character and location within the Osnabrück district.
-
C.
Arensburg
Arensburg is the former German name for Kuressaare, a historic town and seaside resort on Saaremaa Island in Estonia.
-
D.
Olde Burien
Olde Burien is the historic downtown core of Burien, Washington, known for its small-town main street feel, local shops, and restaurants.
-
E.
Küdinghoven
Küdinghoven is a district of the Beuel borough in Bonn, Germany, known for its residential character and proximity to the Rhine.
- 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: Bernhoven (former location) Triple: [Veghel, hasHospital, Bernhoven (former location)]
Generated description
Bernhoven (former location) refers to the former hospital facility that once served the town of Veghel in the Netherlands before its services were relocated or reorganized.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bernhoven (former location) Target entity description: Bernhoven (former location) refers to the former hospital facility that once served the town of Veghel in the Netherlands before its services were relocated or reorganized.
-
A.
Werthhoven
Werthhoven is a village-level district within the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
B.
Badbergen
Badbergen is a municipality in Lower Saxony, Germany, known for its rural character and location within the Osnabrück district.
-
C.
Arensburg
Arensburg is the former German name for Kuressaare, a historic town and seaside resort on Saaremaa Island in Estonia.
-
D.
Olde Burien
Olde Burien is the historic downtown core of Burien, Washington, known for its small-town main street feel, local shops, and restaurants.
-
E.
Küdinghoven
Küdinghoven is a district of the Beuel borough in Bonn, Germany, known for its residential character and proximity to the Rhine.
- 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_69c69f2696688190915a8458f2398211 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5b32c708190bb3a92d0d949304a |
completed | March 27, 2026, 9:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c9953e88190a1e0e899f2ddf822 |
completed | March 28, 2026, 8:39 p.m. |
| NEDg | Description generation | batch_69c83defe434819086bf6d63c8f2675e |
completed | March 28, 2026, 8:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c83e531ea881909b6186de9adbccc0 |
completed | March 28, 2026, 8:47 p.m. |
Created at: March 27, 2026, 3:44 p.m.