Triple
T38156888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pakistan |
E952909
|
entity |
| Predicate | powerDivision |
P142883
|
FINISHED |
| Object | central government and provincial governments |
—
|
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: central government and provincial governments | Statement: [Pakistan, powerDivision, central government and provincial governments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: powerDivision Context triple: [Pakistan, powerDivision, central government and provincial governments]
-
A.
capitalDivision
Indicates that one administrative division serves as the capital of another administrative division or political entity.
-
B.
dividedPowersBetween
chosen
Indicates that some form of authority, control, or responsibility is distributed or shared between two or more entities rather than held by a single one.
-
C.
powerStructure
Indicates how authority, control, and decision-making are distributed and organized among entities within a system or group.
-
D.
allowsDividedGovernment
Indicates that a political or electoral system permits different branches or levels of government to be controlled by different parties at the same time.
-
E.
apportionsAmong
Indicates that a total quantity or resource is divided and assigned in specific portions to multiple recipients or categories.
- 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_69f76f0a67f4819080c492f61d688fcc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd44474ed48190ac372e4c88d762ed |
completed | May 8, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69fd41ef28a48190a66959be5c964461 |
completed | May 8, 2026, 1:52 a.m. |
Created at: May 3, 2026, 4:21 p.m.