Triple
T12780881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leader of the Opposition (Pakistan) |
E305502
|
entity |
| Predicate | followedByInProtocol |
P106866
|
FINISHED |
| Object | other members of the National Assembly |
—
|
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: other members of the National Assembly | Statement: [Leader of the Opposition (Pakistan), followedByInProtocol, other members of the National Assembly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followedByInProtocol Context triple: [Leader of the Opposition (Pakistan), followedByInProtocol, other members of the National Assembly]
-
A.
followedByComponent
Indicates that one component directly succeeds another component in a defined sequence or order.
-
B.
followedByClass
Indicates that one class or type is immediately succeeded by another class or type in a defined sequence or ordering.
-
C.
followsBy
Indicates that one event, state, or entity occurs or comes immediately after another in a sequence or order.
-
D.
followsBetween
Indicates that one entity comes after or succeeds another entity within a specified context or sequence.
-
E.
followsTo
Indicates that one entity moves or proceeds behind another entity toward a specific destination or target.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e5a5680819095dcd491486d23e7 |
completed | April 10, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69d9640ba0688190973e4e7ec8d4a8e0 |
completed | April 10, 2026, 8:56 p.m. |
| PDg | Predicate description generation | batch_69d96d87078c819083ea724238992204 |
completed | April 10, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:29 p.m.