Triple
T15800324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abdelbaset al-Megrahi |
E383079
|
entity |
| Predicate | legalAppealStatus |
P18643
|
FINISHED |
| Object | second appeal abandoned |
—
|
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: second appeal abandoned | Statement: [Abdelbaset al-Megrahi, legalAppealStatus, second appeal abandoned]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalAppealStatus Context triple: [Abdelbaset al-Megrahi, legalAppealStatus, second appeal abandoned]
-
A.
appealStatus
chosen
Indicates the current state or outcome of an appeal within a review or decision process.
-
B.
courtStatus
Indicates the current legal or procedural state of a case or matter within a court system.
-
C.
judicialStatus
Indicates the legal or court-related condition or standing of an entity within a judicial process (e.g., pending, decided, appealed).
-
D.
legalCodeStatus
Indicates the legal or regulatory status assigned to a specific code within a legal or statutory system (e.g., active, repealed, pending).
-
E.
judicialReviewStatus
Indicates whether and how a decision, action, or law has been or can be examined, challenged, or ruled upon by a judicial authority.
- 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.