Triple

T25109012
Position Surface form Disambiguated ID Type / Status
Subject 1965 Pakistani presidential election E628941 entity
Predicate regionOfStrongOpposition P167040 FINISHED
Object East Pakistan NE NERFINISHED

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: East Pakistan | Statement: [1965 Pakistani presidential election, regionOfStrongOpposition, East Pakistan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regionOfStrongOpposition
Context triple: [1965 Pakistani presidential election, regionOfStrongOpposition, East Pakistan]
  • A. regionWithStrongBlocSupport
    Indicates that a geographic region exhibits notably high or concentrated support for a particular political bloc or alliance.
  • B. opposedBy
    Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
  • C. regionWithStrongReformSupport
    Indicates that a region is characterized by notably high support for a particular reform or set of reforms.
  • D. regionOpposedExpansionIn
    Indicates that a region actively resisted or opposed the expansion of another entity into its territory or sphere of influence.
  • E. sectionalOpposition
    Indicates a relationship where two or more sections or segments are positioned or oriented in opposition or contrast to each other.
  • F. None of above. chosen

Provenance (4 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_69e2ff3169d08190973b6061d5009abd completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f6653ccf648190b65fb1141928e47e completed May 2, 2026, 8:57 p.m.
PD Predicate disambiguation batch_69f6633451948190bcc0410602bb4914 completed May 2, 2026, 8:48 p.m.
PDg Predicate description generation batch_69f663ff176c8190aaadb475f75daee4 completed May 2, 2026, 8:52 p.m.
Created at: April 18, 2026, 6:26 a.m.