Triple
T15800320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abdelbaset al-Megrahi |
E383079
|
entity |
| Predicate | expectedPrognosisAtRelease |
P24568
|
FINISHED |
| Object | approximately three months to live |
—
|
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: approximately three months to live | Statement: [Abdelbaset al-Megrahi, expectedPrognosisAtRelease, approximately three months to live]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: expectedPrognosisAtRelease Context triple: [Abdelbaset al-Megrahi, expectedPrognosisAtRelease, approximately three months to live]
-
A.
hasPrognosis
chosen
Indicates that one entity (typically a medical condition or case) is associated with an expected course or outcome over time, such as likely progression, duration, or chances of recovery.
-
B.
predictedIn
Indicates that something has been forecast, anticipated, or estimated to occur within or as part of a specified context, time, or situation.
-
C.
plannedCasualtyExpectations
Indicates that an entity has estimated or anticipated the number or extent of casualties expected to result from a planned action or event.
-
D.
averageSurvivalAfterDiagnosis
Indicates the typical length of time individuals survive following the point at which a condition or disease is first diagnosed.
-
E.
predictedEffect
Indicates that one entity is expected to cause, influence, or result in a particular outcome or consequence for another entity.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4e135b08190b736e77bac5e2bff |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0053b847c8190945726c3ddac21cc |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:48 a.m.