Triple

T714667
Position Surface form Disambiguated ID Type / Status
Subject Ijaw E14285 entity
Predicate politicalIssue P14210 FINISHED
Object resource control 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: resource control | Statement: [Ijaw, politicalIssue, resource control]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: politicalIssue
Context triple: [Ijaw, politicalIssue, resource control]
  • A. politicalIssueIn chosen
    Indicates that a political issue is relevant to, occurs within, or is associated with a particular geographic or political region.
  • B. politicalGoal
    Indicates a relationship where an entity aims to achieve, promote, or realize a specific political outcome, policy, or state of affairs.
  • C. politicalFunction
    Indicates that an entity holds, performs, or is associated with a specific role, duty, or function within a political system or structure.
  • D. 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.
  • E. politicalRationale
    Indicates the reasoning, justification, or strategic considerations underlying a political decision, stance, or action.
  • 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_69a4934a36e081909e7abef98b898a4e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5738e04819082eac673b3b7c4c2 completed March 1, 2026, 8:45 p.m.
PD Predicate disambiguation batch_69a4a4f38898819089d79bad4f4ff2d2 completed March 1, 2026, 8:43 p.m.
Created at: March 1, 2026, 7:36 p.m.