Triple

T3551963
Position Surface form Disambiguated ID Type / Status
Subject Zaman Shah Durrani E75129 entity
Predicate politicalChallenges P25878 FINISHED
Object tribal uprisings 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: tribal uprisings | Statement: [Zaman Shah Durrani, politicalChallenges, tribal uprisings]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: politicalChallenges
Context triple: [Zaman Shah Durrani, politicalChallenges, tribal uprisings]
  • A. politicalIssueIn
    Indicates that a political issue is relevant to, occurs within, or is associated with a particular geographic or political region.
  • B. politicalRepercussion
    Indicates that an action, event, or decision leads to consequences or fallout within a political context, such as shifts in power, public opinion, or policy.
  • C. politicalIssueFor chosen
    Indicates a relationship where a particular topic, problem, or policy area is considered a matter of political concern or debate for a given entity.
  • D. politicalTheme
    Indicates that something is related to, characterized by, or primarily concerned with politics, governance, or political issues.
  • E. politicalCurrent
    Indicates that an entity is presently holding or engaged in a specific political role, status, or activity at the current time.
  • 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc05256f081908b8d6a5df917e679 completed March 8, 2026, 6:30 p.m.
PD Predicate disambiguation batch_69adb83270ac819083967db0570167d2 completed March 8, 2026, 5:56 p.m.
Created at: March 8, 2026, 3:20 p.m.