Triple

T35019041
Position Surface form Disambiguated ID Type / Status
Subject Louis of Burgundy E1010139 entity
Predicate conflictOrContext P3680 FINISHED
Object Catalan dominance in Greece 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: Catalan dominance in Greece | Statement: [Louis of Burgundy, conflictOrContext, Catalan dominance in Greece]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: conflictOrContext
Context triple: [Louis of Burgundy, conflictOrContext, Catalan dominance in Greece]
  • A. conflictContext chosen
    Indicates the situational background or circumstances within which a conflict between entities occurs or is interpreted.
  • B. conflictSideContext
    Indicates that an entity participates in a conflict on a particular side, within a specified contextual framing (such as time, place, or specific phase of the conflict).
  • C. postConflictContext
    Indicates that the relationship or action occurs within, or is shaped by, a setting that follows the end of an armed conflict or violent confrontation.
  • D. conflictIn
    Indicates that one entity is involved in, associated with, or occurs within a particular conflict or dispute.
  • E. builtForConflictContext
    Indicates that something is designed, adapted, or intended specifically to function within or address a conflict situation or contentious context.
  • 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_69f76dcc3ac8819096a3ed52f5fa2523 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78fd5a6388190bfda4bbb2e222e5b completed May 3, 2026, 6:11 p.m.
PD Predicate disambiguation batch_69f78e2ac3fc819081a45c6841375c8d completed May 3, 2026, 6:04 p.m.
Created at: May 3, 2026, 4:01 p.m.