Triple
T3434956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oberon |
E72426
|
entity |
| Predicate | hasFacility |
P105
|
FINISHED |
| Object |
Oberon Hospital
Oberon Hospital is a local healthcare facility serving the medical needs of the Oberon community and surrounding region.
|
E357553
|
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: Oberon Hospital | Statement: [Oberon, hasFacility, Oberon Hospital]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oberon Hospital Context triple: [Oberon, hasFacility, Oberon Hospital]
-
A.
William Harvey Hospital
William Harvey Hospital is a major National Health Service district general hospital serving Ashford and the surrounding areas in Kent, England.
-
B.
Woodstock Hospital
Woodstock Hospital is a community healthcare facility serving the medical needs of residents in and around Woodstock, Ontario.
-
C.
Mackenzie Vaughan Hospital
Mackenzie Vaughan Hospital is a modern regional healthcare facility serving the community of Maple in Vaughan, Ontario.
-
D.
St John’s Hospital
St John’s Hospital is a major acute general hospital serving Livingston and the wider West Lothian area in Scotland.
-
E.
Balgrist University Hospital
Balgrist University Hospital is a leading Swiss academic medical center in Zurich specializing in musculoskeletal medicine, orthopedics, and rehabilitation.
- 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: Oberon Hospital Triple: [Oberon, hasFacility, Oberon Hospital]
Generated description
Oberon Hospital is a local healthcare facility serving the medical needs of the Oberon community and surrounding region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oberon Hospital Target entity description: Oberon Hospital is a local healthcare facility serving the medical needs of the Oberon community and surrounding region.
-
A.
William Harvey Hospital
William Harvey Hospital is a major National Health Service district general hospital serving Ashford and the surrounding areas in Kent, England.
-
B.
Woodstock Hospital
Woodstock Hospital is a community healthcare facility serving the medical needs of residents in and around Woodstock, Ontario.
-
C.
Mackenzie Vaughan Hospital
Mackenzie Vaughan Hospital is a modern regional healthcare facility serving the community of Maple in Vaughan, Ontario.
-
D.
St John’s Hospital
St John’s Hospital is a major acute general hospital serving Livingston and the wider West Lothian area in Scotland.
-
E.
Balgrist University Hospital
Balgrist University Hospital is a leading Swiss academic medical center in Zurich specializing in musculoskeletal medicine, orthopedics, and rehabilitation.
- 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_69ad85af50288190a854b76653deee6f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9c3300881909f5c3544f8923b41 |
completed | March 8, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3547fd15481909c310b731231d5bb |
completed | March 13, 2026, 12:04 a.m. |
| NEDg | Description generation | batch_69b3588a03c08190aaed9a22837f2c0d |
completed | March 13, 2026, 12:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b358e305548190b861e5ecbb59fa56 |
completed | March 13, 2026, 12:22 a.m. |
Created at: March 8, 2026, 3:16 p.m.