Triple
T7885273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Assembly chamber |
E183085
|
entity |
| Predicate | sessionConvenedOnAdviceOf |
P79563
|
FINISHED |
| Object | Prime Minister of 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: Prime Minister of Pakistan | Statement: [National Assembly chamber, sessionConvenedOnAdviceOf, Prime Minister of Pakistan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sessionConvenedOnAdviceOf Context triple: [National Assembly chamber, sessionConvenedOnAdviceOf, Prime Minister of Pakistan]
-
A.
convenedFor
Indicates that an event, meeting, or gathering was brought together for a specific purpose, topic, or beneficiary.
-
B.
convenedAfter
Indicates that one event, meeting, or gathering was formally brought together at a time later than another specified event.
-
C.
convenedIn
Indicates that an event, meeting, or formal gathering was brought together and held at a specific location.
-
D.
convenesBefore
Indicates that one event or gathering is convened and completed before another specified event or gathering begins.
-
E.
convenedOn
Indicates that an event, meeting, or formal gathering took place or was held on a specific date or time.
- 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_69ca828af6e48190a06ee7010d8f0e64 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39d62a148190bed4e0d199aa427b |
completed | March 31, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69cae92b0cd881908e715a10d3252e83 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf786ec748190b6347b0c94335550 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:59 p.m.