Triple
T27666492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2007 state of emergency in Pakistan |
E697240
|
entity |
| Predicate | bannedOrganizationOrGroup |
P72781
|
FINISHED |
| Object | public demonstrations |
—
|
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: public demonstrations | Statement: [2007 state of emergency in Pakistan, bannedOrganizationOrGroup, public demonstrations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bannedOrganizationOrGroup Context triple: [2007 state of emergency in Pakistan, bannedOrganizationOrGroup, public demonstrations]
-
A.
bannedOrganizations
Indicates that certain organizations are officially prohibited or outlawed, typically by a governing authority or policy.
-
B.
bannedBy
Indicates that an entity is prohibited or disallowed as a result of a decision or action taken by another entity.
-
C.
roleOnTheBlacklist
Indicates that an entity holds a specific role or status that has been designated as blacklisted or prohibited.
-
D.
bannedInContextOf
chosen
Indicates that something is prohibited or not allowed specifically within a particular situation, setting, or scope.
-
E.
coSanctionedBy
Indicates that an action, decision, or measure is jointly authorized, approved, or endorsed by multiple entities.
- 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_69ef590b85a4819083ec7c12bd3c9c10 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6359e3d3c81909814e2f0a7fb0ea9 |
completed | May 2, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f631871c888190bf29466fe4254e51 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 2:38 p.m.