Triple
T33414816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FATA |
E855683
|
entity |
| Predicate | senateRepresentation |
P14821
|
FINISHED |
| Object | separate seats in Senate of Pakistan (before 2018) |
—
|
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: separate seats in Senate of Pakistan (before 2018) | Statement: [FATA, senateRepresentation, separate seats in Senate of Pakistan (before 2018)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: senateRepresentation Context triple: [FATA, senateRepresentation, separate seats in Senate of Pakistan (before 2018)]
-
A.
numberOfRepresentatives
Indicates the quantity of representatives associated with a given entity or unit.
-
B.
representedInSenate
Indicates that an entity serves as a representative for another entity within a senate or upper legislative chamber.
-
C.
numberOfSenates
Indicates the total count of senate bodies associated with or present in a given context or entity.
-
D.
shareFederalRepresentation
Indicates that two or more entities are represented by the same federal-level representative or body within a governmental system.
-
E.
senateRepresentationBasis
chosen
Indicates the principle or criteria on which representation in a senate is allocated or determined.
- 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_69f3496f04a08190804e56ac5098b8e4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e47f37848190aadb137c81760f1f |
completed | May 3, 2026, 6 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:36 a.m.