Triple
T12481677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José Carreras Leukaemia Foundation |
E298321
|
entity |
| Predicate | raisesAwarenessOf |
P66866
|
FINISHED |
| Object | blood cancers |
—
|
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: blood cancers | Statement: [José Carreras Leukaemia Foundation, raisesAwarenessOf, blood cancers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raisesAwarenessOf Context triple: [José Carreras Leukaemia Foundation, raisesAwarenessOf, blood cancers]
-
A.
awareness
Indicates that an entity has conscious knowledge, perception, or understanding of another entity, situation, or fact.
-
B.
aimsToRaiseAwarenessOf
chosen
Indicates that an entity undertakes actions or efforts with the purpose of increasing others’ knowledge, concern, or recognition of a particular issue, topic, or situation.
-
C.
recognizedSee
Indicates that one entity sees another and consciously recognizes or identifies what is being seen.
-
D.
recognizedFor
Indicates that one entity is acknowledged, credited, or honored for a particular achievement, quality, contribution, or work associated with another entity.
-
E.
raisedWhen
Indicates that one event, condition, or signal occurs or is triggered in response to another specific event or situation.
- 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.