Triple
T3713743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Provinces of Pakistan |
E81475
|
entity |
| Predicate | haveLegislatureType |
P15791
|
FINISHED |
| Object | unicameral provincial 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: unicameral provincial assembly | Statement: [Provinces of Pakistan, haveLegislatureType, unicameral provincial assembly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: haveLegislatureType Context triple: [Provinces of Pakistan, haveLegislatureType, unicameral provincial assembly]
-
A.
hasLegislatureType
chosen
Indicates the specific form or system of legislature that an entity possesses or operates under.
-
B.
advocatedLegislatureType
Indicates that an entity publicly supported or promoted a particular type or form of legislature.
-
C.
appliesToLegislature
Indicates that something (such as a rule, provision, or action) is directed toward, relevant for, or governing a legislative body or its operations.
-
D.
hasLegislativePower
Indicates that an entity possesses the authority to create, amend, or repeal laws within a given jurisdiction or governing framework.
-
E.
typeOfLegislation
Indicates the specific category or kind of legislation that a given legal act or measure belongs to.
- 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_69ad8b1a81588190b3f27a5483bb610e |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc9ccfad081908730ed15c6f87ce2 |
completed | March 8, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69adc041a8608190a2d543dab6d2ef6c |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:33 p.m.