Triple

T3858018
Position Surface form Disambiguated ID Type / Status
Subject People's Front for Democracy and Justice E90065 entity
Predicate oppositionParties P21146 FINISHED
Object banned 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: banned | Statement: [People's Front for Democracy and Justice, oppositionParties, banned]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: oppositionParties
Context triple: [People's Front for Democracy and Justice, oppositionParties, banned]
  • A. hasOppositionParties chosen
    Indicates that an entity (typically a government or ruling body) has one or more political parties that formally oppose or challenge its policies or authority.
  • B. opposesPartyType
    Indicates that one party or entity is in opposition to, or acts against the interests or positions of, a particular type or category of party.
  • C. oppositionMovement
    Indicates a relationship where a group or entity actively resists, challenges, or seeks to change an existing authority, policy, regime, or dominant force.
  • D. ledPoliticalParty
    Indicates that one entity served as the leader or head of a particular political party.
  • E. politicalParty
    Indicates that an entity is affiliated with, belongs to, or is a member of a specific political party.
  • 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_69aed95b3c088190a8f85d19e6070599 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec1e68f88190941c39221486f6ae completed March 9, 2026, 3:49 p.m.
PD Predicate disambiguation batch_69aee752c8a48190a670f73ed0bf1e61 completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:19 p.m.