Triple
T7838522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of Afghanistan |
E181744
|
entity |
| Predicate | canAppointJudges |
P19633
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [President of Afghanistan, canAppointJudges, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canAppointJudges Context triple: [President of Afghanistan, canAppointJudges, yes]
-
A.
appointingAuthorityForJudges
chosen
Indicates the entity that has the official power or responsibility to appoint judges.
-
B.
authorizedJudgeships
Indicates the number or set of judicial positions that are officially established and permitted by law or authority for a given court or jurisdiction.
-
C.
judgeAppointmentBy
Indicates that one entity is appointed to the role of judging or evaluating another entity by a specific authority or process.
-
D.
hasJudge
Indicates that a legal case, proceeding, or decision is presided over or decided by a particular judge.
-
E.
judgesMayBe
Indicates that certain individuals can serve in the role of judges under specified conditions or classifications.
- 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_69ca8284a25c8190a1a20afad30da792 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb14c336f08190a21a3fcaa7269457 |
completed | March 31, 2026, 12:26 a.m. |
| PD | Predicate disambiguation | batch_69cae91e98988190abd4ece75932c589 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:46 p.m.