Triple
T26569307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clatterbridge |
E666777
|
entity |
| Predicate | hasOncologyCentre |
P145008
|
FINISHED |
| Object | Clatterbridge Cancer Centre |
—
|
NE NERFINISHED |
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: Clatterbridge Cancer Centre | Statement: [Clatterbridge, hasOncologyCentre, Clatterbridge Cancer Centre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOncologyCentre Context triple: [Clatterbridge, hasOncologyCentre, Clatterbridge Cancer Centre]
-
A.
hasMedicalCenter
Indicates that an entity possesses, hosts, or is associated with a medical center facility.
-
B.
isComprehensiveCancerCenter
Indicates that an institution has been officially designated as a comprehensive cancer center, meaning it meets rigorous standards for integrated cancer research, treatment, and education.
-
C.
hasResearchHospital
Indicates that an entity possesses, is associated with, or operates a hospital facility dedicated to conducting medical or clinical research.
-
D.
hasAffiliatedCenter
chosen
Indicates that one entity is formally connected or associated with a particular center, such as an institution, facility, or organizational unit.
-
E.
hasTeachingHospitalComplex
Indicates that an entity is associated with or includes a complex of facilities functioning as a teaching hospital.
- F. None of above.
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_69ee9cfa21c081909e4e36e087debfc6 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 27, 2026, 1:57 a.m.