Triple
T25115864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | subordinate judiciary of Pakistan |
E629125
|
entity |
| Predicate | reformsSubject |
P75371
|
FINISHED |
| Object | judicial reforms in Pakistan |
—
|
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: judicial reforms in Pakistan | Statement: [subordinate judiciary of Pakistan, reformsSubject, judicial reforms in Pakistan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reformsSubject Context triple: [subordinate judiciary of Pakistan, reformsSubject, judicial reforms in Pakistan]
-
A.
subjectToReformBy
Indicates that an entity is undergoing or designated for changes, improvements, or restructuring carried out by another entity.
-
B.
reformsBy
chosen
Indicates that one entity initiates, implements, or is responsible for changes or improvements (reforms) affecting another entity.
-
C.
reform
Indicates bringing about significant changes to an existing system, practice, or entity in order to improve or correct it.
-
D.
relatedReforms
Indicates that one reform is connected or associated with another reform, typically through shared goals, content, or impact.
-
E.
typeOfReforms
Indicates the specific kinds or categories of reforms associated with an entity 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_69e2ff3169d08190973b6061d5009abd |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f465c66cc48190b66b14e4b9036432 |
completed | May 1, 2026, 8:35 a.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 6:27 a.m.