Triple

T4253106
Position Surface form Disambiguated ID Type / Status
Subject Ludwig I of Bavaria E95903 entity
Predicate causeOfPoliticalCrisis P51764 FINISHED
Object relationship with Lola Montez 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: relationship with Lola Montez | Statement: [Ludwig I of Bavaria, causeOfPoliticalCrisis, relationship with Lola Montez]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: causeOfPoliticalCrisis
Context triple: [Ludwig I of Bavaria, causeOfPoliticalCrisis, relationship with Lola Montez]
  • A. causeOfPoliticalConflict chosen
    Indicates that one entity is the source or reason for a political conflict involving another entity.
  • B. majorPoliticalCrisisEnd
    Indicates the point in time or event at which a significant political crisis is considered to have concluded or been resolved.
  • C. crisisRelatedTo
    Indicates a relationship where one situation, event, or condition is connected to, associated with, or relevant to a crisis.
  • D. causeOfDownfall
    Indicates a factor, event, or agent that brings about the failure, ruin, or collapse of someone or something.
  • E. politicalConflict
    Indicates a relationship where entities are engaged in opposing political positions, struggles, or disputes, often involving competition for power, influence, or policy outcomes.
  • 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_69b3453f759881909b91f01a1e82c036 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34ebc98e08190915ac309a51ef87f completed March 12, 2026, 11:39 p.m.
PD Predicate disambiguation batch_69b347f73e008190a908a48ef389945a completed March 12, 2026, 11:10 p.m.
Created at: March 12, 2026, 11:06 p.m.