Triple
T1610088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Constitution of Pakistan (1973) |
E34595
|
entity |
| Predicate | vestsAuthorityIn |
P9895
|
FINISHED |
| Object | people 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: people of Pakistan | Statement: [Constitution of Pakistan (1973), vestsAuthorityIn, people of Pakistan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vestsAuthorityIn Context triple: [Constitution of Pakistan (1973), vestsAuthorityIn, people of Pakistan]
-
A.
usesAuthorityOf
Indicates that one entity exercises power, rights, or influence derived from or on behalf of another entity’s authority.
-
B.
reaffirmsAuthorityOf
Indicates that one entity confirms, strengthens, or restates the legitimacy or power of another entity’s authority.
-
C.
designatesAuthority
chosen
Indicates that one entity formally assigns or confers decision-making power or control over something to another entity.
-
D.
uniformAuthority
Indicates that an authority or governing body applies rules, standards, or control consistently and uniformly across all relevant entities or situations.
-
E.
allocationAuthority
Indicates that an entity has the power or right to decide how resources, tasks, or responsibilities are distributed among others.
- 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_69a885ffc5ec819091afa325d5f9611c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93fa6926081908bc78d15c0be3185 |
completed | March 5, 2026, 8:32 a.m. |
| PD | Predicate disambiguation | batch_69a907c35f848190a2428c52e81d013e |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.