Triple
T16548645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Singleton Hospital |
E402011
|
entity |
| Predicate | hasCampus |
P116
|
FINISHED |
| Object | Singleton Hospital site |
E402011
|
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: Singleton Hospital site | Statement: [Singleton Hospital, hasCampus, Singleton Hospital site]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Singleton Hospital site Context triple: [Singleton Hospital, hasCampus, Singleton Hospital site]
-
A.
Singleton Hospital
chosen
Singleton Hospital is a major NHS teaching hospital in Swansea, Wales, providing a wide range of acute and specialist healthcare services.
-
B.
Singleton District Hospital
Singleton District Hospital is a public healthcare facility serving the Singleton region of New South Wales, Australia, providing a range of inpatient, emergency, and community health services.
-
C.
Boost Hospital
Boost Hospital is a major medical facility in Lashkargah, Afghanistan, providing essential healthcare services to the local population and surrounding regions.
-
D.
Tonna Hospital
Tonna Hospital is a healthcare facility serving the community of Tonna in Wales.
-
E.
Sparrow Hospital
Sparrow Hospital is a major regional medical center in Lansing, Michigan, providing a wide range of healthcare services and serving as a key hospital in the mid-Michigan area.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34fc323a88190b5c2a34de0a3c7f0 |
completed | April 18, 2026, 9:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067b4f6448190812632ab9023b665 |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:15 a.m.