Triple

T1076957
Position Surface form Disambiguated ID Type / Status
Subject Yemen conflict (Saudi-led coalition) E23860 entity
Predicate UNInvolvement P4257 FINISHED
Object UN-led peace talks 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: UN-led peace talks | Statement: [Yemen conflict (Saudi-led coalition), UNInvolvement, UN-led peace talks]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: UNInvolvement
Context triple: [Yemen conflict (Saudi-led coalition), UNInvolvement, UN-led peace talks]
  • A. UNConsiders
    Indicates that the United Nations is formally examining, deliberating on, or taking into account a particular issue, proposal, or situation.
  • B. involves
    Indicates that an entity participates in, is a part of, or is implicated within a particular event, process, or relationship.
  • C. involvesInstitution chosen
    Indicates that an action, event, or relationship includes or is associated with an institution as a participating party.
  • D. doesNotParticipateIn
    Indicates that an entity is explicitly not involved in, associated with, or taking part in a specified activity, event, or process.
  • E. involvedUnit
    Indicates that a particular unit (such as a group, organization, or division) participates in, is associated with, or plays a role in the referenced event or activity.
  • 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_69a493f1ddf48190a99d54b00e99f8ce completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b940d4848190930e73597afd1fcf completed March 1, 2026, 10:10 p.m.
PD Predicate disambiguation batch_69a4b73ba8208190be7f3cef8c18689b completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:42 p.m.