Triple
T34075759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supreme Court Bar Association of Pakistan |
E873903
|
entity |
| Predicate | typeOfBar |
P203071
|
FINISHED |
| Object | apex court bar association |
—
|
NE NERFINISHED |
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: apex court bar association | Statement: [Supreme Court Bar Association of Pakistan, typeOfBar, apex court bar association]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfBar Context triple: [Supreme Court Bar Association of Pakistan, typeOfBar, apex court bar association]
-
A.
barStructure
Indicates that one entity serves as the structural framework or supporting construction for a bar (such as a counter, pub, or similar establishment).
-
B.
barrelType
Indicates the specific kind or category of barrel associated with or used in relation to an entity.
-
C.
barName
Indicates that an entity has the specified name when it is functioning or identified as a bar.
-
D.
hasBarStrength
Indicates that one entity possesses or exhibits a certain level or measure of bar-related strength or robustness in relation to another entity or context.
-
E.
hasBars
Indicates that one entity possesses, contains, or is equipped with bars as a defining feature or component.
- F. None of above. chosen
Provenance (4 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_69f349a566808190a1c63b898f33cddf |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a011c64ff18819099195701bbecbb20 |
completed | May 11, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_6a011b7f7a508190b2ebb518fb7a2fe9 |
completed | May 10, 2026, 11:57 p.m. |
| PDg | Predicate description generation | batch_6a011c645b68819092ccbb14c1a4c454 |
completed | May 11, 2026, 12:01 a.m. |
Created at: May 1, 2026, 1:52 a.m.