Triple

T3789814
Position Surface form Disambiguated ID Type / Status
Subject Joanna la Beltraneja E89616 entity
Predicate causeOfPoliticalConflict P51764 FINISHED
Object disputed legitimacy 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: disputed legitimacy | Statement: [Joanna la Beltraneja, causeOfPoliticalConflict, disputed legitimacy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: causeOfPoliticalConflict
Context triple: [Joanna la Beltraneja, causeOfPoliticalConflict, disputed legitimacy]
  • A. politicalConflict
    Indicates a relationship where entities are engaged in opposing political positions, struggles, or disputes, often involving competition for power, influence, or policy outcomes.
  • B. religiousConflictBetween
    Indicates a relationship where two entities are in opposition or dispute due to differing religious beliefs, practices, or affiliations.
  • C. conflictIn
    Indicates that one entity is involved in, associated with, or occurs within a particular conflict or dispute.
  • D. hasIdeologicalConflict
    Indicates a relationship where two entities hold opposing or incompatible ideologies that put them in conflict with each other.
  • E. conflictSpecific
    Indicates a specific, concrete instance or type of conflict that exists between the related entities.
  • F. None of above. chosen

Provenance (4 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_69aed9597d6881909b6ee3b9de859223 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecefa3608190a7a20ed6df6a64b2 completed March 9, 2026, 3:53 p.m.
PD Predicate disambiguation batch_69aee743c8d08190a9f9c97b836bd703 completed March 9, 2026, 3:29 p.m.
PDg Predicate description generation batch_69aeecee63e8819099b8ee8ad4d4354e completed March 9, 2026, 3:53 p.m.
Created at: March 9, 2026, 3:15 p.m.