Triple
T7393417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashford, Surrey |
E170557
|
entity |
| Predicate | hasAmenity |
P105
|
FINISHED |
| Object | Ashford Hospital |
E170560
|
NE FINISHED |
How this triple was built (2 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: Ashford Hospital | Statement: [Ashford, Surrey, hasAmenity, Ashford Hospital]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ashford Hospital Context triple: [Ashford, Surrey, hasAmenity, Ashford Hospital]
-
A.
Ashford Hospital
chosen
Ashford Hospital is a healthcare facility located in Ashford, Surrey, providing medical and surgical services to the local community.
-
B.
William Harvey Hospital
William Harvey Hospital is a major National Health Service district general hospital serving Ashford and the surrounding areas in Kent, England.
-
C.
Oberon Hospital
Oberon Hospital is a local healthcare facility serving the medical needs of the Oberon community and surrounding region.
-
D.
Southampton Hospital
Southampton Hospital is a medical center serving the healthcare needs of residents and visitors in Southampton, New York, and the surrounding East End communities.
-
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.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c68a5e2c9081909e713ce866e0060a |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2263b48819089319a2a2f0d3357 |
completed | March 27, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c810f82ba08190919924b0994a2eee |
completed | March 28, 2026, 5:33 p.m. |
Created at: March 27, 2026, 3:09 p.m.