Triple
T12481693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José Carreras Leukaemia Foundation |
E298321
|
entity |
| Predicate | usesFundingFor |
P84288
|
FINISHED |
| Object | laboratory 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: laboratory research | Statement: [José Carreras Leukaemia Foundation, usesFundingFor, laboratory research]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesFundingFor Context triple: [José Carreras Leukaemia Foundation, usesFundingFor, laboratory research]
-
A.
usedFund
Indicates that one entity expended or applied a particular fund or financial resource for some purpose.
-
B.
fundingContext
Indicates the circumstances, purpose, or conditions under which funding is provided or used in a given relationship or action.
-
C.
fundedBy
Indicates that an entity receives financial support or resources from another entity.
-
D.
usedFeederFunds
Indicates that an entity employed feeder funds as intermediary investment vehicles to channel capital into another fund or investment structure.
-
E.
fundingMeasure
chosen
Indicates a relationship where one entity provides or allocates financial resources (funding) as a specific measure or action in support of another entity, project, or initiative.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e8a706c8190873623eab7db607d |
completed | April 10, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69d94d41f3cc8190a3331fb9a895306f |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:56 p.m.