Triple

T38323315
Position Surface form Disambiguated ID Type / Status
Subject NDFP Peace Panel E1036715 entity
Predicate topicOfNegotiations P21012 FINISHED
Object socio‑economic reforms 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: socio‑economic reforms | Statement: [NDFP Peace Panel, topicOfNegotiations, socio‑economic reforms]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: topicOfNegotiations
Context triple: [NDFP Peace Panel, topicOfNegotiations, socio‑economic reforms]
  • A. negotiationTopic chosen
    Indicates that the associated entities are engaged in a negotiation specifically concerning the referenced topic or subject matter.
  • B. typeOfNegotiation
    Indicates the specific kind or category of negotiation process that characterizes the interaction between the involved parties.
  • C. negotiation
    Indicates a process in which two or more parties communicate and make offers and counteroffers to reach a mutually acceptable agreement.
  • D. negotiatesBetween
    Indicates a relationship where an entity acts as an intermediary to facilitate negotiation or mediation between two other entities.
  • E. negotiationForum
    Indicates that a negotiation or bargaining process takes place within, or is facilitated by, a particular forum, venue, or platform.
  • 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_69f76e1c16fc8190bde982289dd5106b completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fccbd826708190b5fab12c4236299a completed May 7, 2026, 5:28 p.m.
PD Predicate disambiguation batch_69fcc58838e08190b8fa54aa5c165f2d completed May 7, 2026, 5:02 p.m.
Created at: May 3, 2026, 4:30 p.m.