Triple
T97333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Addenbrooke’s Hospital (teaching affiliation) |
E1960
|
entity |
| Predicate | primaryAffiliationType |
P781
|
FINISHED |
| Object | teaching and research |
—
|
LITERAL 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: teaching and research | Statement: [Addenbrooke’s Hospital (teaching affiliation), primaryAffiliationType, teaching and research]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryAffiliationType Context triple: [Addenbrooke’s Hospital (teaching affiliation), primaryAffiliationType, teaching and research]
-
A.
hasAffiliationType
chosen
Indicates that one entity is connected to another through a specified kind or category of affiliation or association.
-
B.
organizationAssociatedWith
Indicates that there is a formal or recognized connection or affiliation between an organization and another entity.
-
C.
parentOrganization
Indicates that one organization is the higher-level or owning entity in an organizational hierarchy relative to another organization.
-
D.
primaryUniformAssociation
Indicates that one entity is designated as the main or primary uniform associated with another entity.
-
E.
leftOrganization
Indicates that an entity has departed from or is no longer affiliated with a particular organization.
- 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a250cb400c8190b56343bbe19b48c7 |
completed | Feb. 28, 2026, 2:19 a.m. |
| PD | Predicate disambiguation | batch_69a24ebd19c48190bab291fea0ecc0c2 |
completed | Feb. 28, 2026, 2:11 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.