Triple
T23516494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Subordinate Courts of India |
E574381
|
entity |
| Predicate | appointmentOfJudgesInConsultationWith |
P35938
|
FINISHED |
| Object | respective High Courts |
—
|
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: respective High Courts | Statement: [Subordinate Courts of India, appointmentOfJudgesInConsultationWith, respective High Courts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appointmentOfJudgesInConsultationWith Context triple: [Subordinate Courts of India, appointmentOfJudgesInConsultationWith, respective High Courts]
-
A.
appointedInConsultationWith
chosen
Indicates that an entity is appointed to a role or position through a process of consultation with another specified party or parties.
-
B.
appointingAuthorityForJudges
Indicates the entity that has the official power or responsibility to appoint judges.
-
C.
consultedAuthorityForJudges
Indicates that an authority was consulted to provide guidance, information, or decisions for judges in a given context.
-
D.
hasJudgesAppointedBy
Indicates that one entity serves as a judge who has been formally appointed by another entity.
-
E.
judgeAppointmentBy
Indicates that one entity is appointed to the role of judging or evaluating another entity by a specific authority or process.
- 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa82a8448190bf7ad56137c5eb94 |
completed | April 29, 2026, 6:51 a.m. |
| PD | Predicate disambiguation | batch_69f0621165c08190a0b27b1319733959 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 6:08 p.m.