Triple

T5519918
Position Surface form Disambiguated ID Type / Status
Subject Indian Union Muslim League E144777 entity
Predicate stateLevelInfluence P62171 FINISHED
Object high in Kerala politics 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: high in Kerala politics | Statement: [Indian Union Muslim League, stateLevelInfluence, high in Kerala politics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: stateLevelInfluence
Context triple: [Indian Union Muslim League, stateLevelInfluence, high in Kerala politics]
  • A. stateLevelStrength chosen
    Indicates the degree of power, capacity, or effectiveness that a state-level entity possesses in performing its functions or exerting influence.
  • B. typicalLevelOfInfluence
    Indicates the usual degree or strength of influence one entity exerts over another or within a given context.
  • C. nationalImpact
    Indicates that something has a significant effect or influence at the level of an entire nation.
  • D. controlsLevelOfGovernment
    Indicates that one entity has authority or power to direct, regulate, or determine the functioning or decisions of a specified level of government.
  • E. statePoliticalContext
    Indicates the political situation, structures, or dynamics associated with a particular state or governmental entity.
  • 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_69c008f873a481909b4d9f7e2db3c37d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f7082ac8190a372fa75e8dec6a4 completed March 22, 2026, 4:57 p.m.
PD Predicate disambiguation batch_69c01b0a06348190b39ac9fe80d2836a completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:33 p.m.