Triple
T26202205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Attorney General for Pakistan |
E655255
|
entity |
| Predicate | canAppear |
P76230
|
FINISHED |
| Object | in any court 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: in any court in Pakistan | Statement: [Attorney General for Pakistan, canAppear, in any court in Pakistan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canAppear Context triple: [Attorney General for Pakistan, canAppear, in any court in Pakistan]
-
A.
mayAppear
chosen
Indicates that an entity is allowed or has the possibility to be present or occur in association with another entity or context.
-
B.
appearTo
Indicates that something gives the impression or seems to be a certain way to an observer, without confirming that it actually is so.
-
C.
apparentIn
Indicates that something is visibly present, manifested, or evident within or through another thing or context.
-
D.
canBe
Indicates that one entity has the potential, permission, or capability to become, perform as, or be classified as another entity.
-
E.
mayAppearOn
Indicates that one entity is allowed or able to be shown, featured, or present on another entity (such as a platform, medium, or surface).
- 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_69ee5b48236c81908fe385b6afc4f60b |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60cdc6c9481909f9e9ba371a1a329 |
completed | May 2, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69f5b007ec1c819092e2c3605933f60b |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 8:49 p.m.