Triple

T30221128
Position Surface form Disambiguated ID Type / Status
Subject censor (Roman Republic) E768346 entity
Predicate hadImperium P32437 FINISHED
Object no 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: no | Statement: [censor (Roman Republic), hadImperium, no]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadImperium
Context triple: [censor (Roman Republic), hadImperium, no]
  • A. couldHoldImperium chosen
    Indicates that one entity had the legal or formal capacity to exercise supreme authoritative power or command over another or within a given domain.
  • B. wasHegemonOf
    Indicates that one entity held dominant political, military, or economic leadership over another entity or group.
  • C. hadImperialCircle
    Indicates that an entity was administratively organized within a specific Imperial Circle of the Holy Roman Empire.
  • D. hadTyrant
    Indicates that an entity was ruled or dominated by a tyrant.
  • E. hadImperialStatus
    Indicates that an entity possessed or was granted imperial rank, authority, or official status within an empire.
  • 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_69f2247fd8b8819087fcf83cb7a05eb8 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6801da3e88190a4862f59160e6832 completed May 2, 2026, 10:52 p.m.
PD Predicate disambiguation batch_69f6760216108190bbb708d53a6c2c25 completed May 2, 2026, 10:09 p.m.
Created at: April 29, 2026, 7:35 p.m.