Triple

T10204472
Position Surface form Disambiguated ID Type / Status
Subject Emperor of Ethiopia E238965 entity
Predicate laterGoverningSystem P92696 FINISHED
Object constitutional monarchy 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: constitutional monarchy | Statement: [Emperor of Ethiopia, laterGoverningSystem, constitutional monarchy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laterGoverningSystem
Context triple: [Emperor of Ethiopia, laterGoverningSystem, constitutional monarchy]
  • A. laterPoliticalSystemUnderRule
    Indicates that one political system came under the rule or authority of another political system at a later point in time.
  • B. laterGovernedAs
    Indicates that an entity subsequently held governing authority over another entity at a later time.
  • C. successorSystem
    Indicates that one system directly follows and replaces another in function, role, or version.
  • D. laterPolicy
    Indicates that one policy occurs or becomes effective after another policy in time.
  • E. governingBodyAfter
    Indicates that one governing body succeeds another as the official authority over the same entity or jurisdiction.
  • 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_69ca84e1ea088190b38162e43d4cfa8f completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdeed8644c8190b497aaf52583fa6d completed April 2, 2026, 4:21 a.m.
PD Predicate disambiguation batch_69cd7c8b7f348190a585daa70de4d4c8 completed April 1, 2026, 8:14 p.m.
PDg Predicate description generation batch_69cd7edc6cf081909d95859d880a4059 completed April 1, 2026, 8:23 p.m.
Created at: March 30, 2026, 9:14 p.m.