Triple

T33377773
Position Surface form Disambiguated ID Type / Status
Subject Lucius Caecilius Metellus Dalmaticus E854681 entity
Predicate Roman office P39445 FINISHED
Object censorship 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: censorship | Statement: [Lucius Caecilius Metellus Dalmaticus, Roman office, censorship]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: Roman office
Context triple: [Lucius Caecilius Metellus Dalmaticus, Roman office, censorship]
  • A. romanGovernmentForm
    Indicates the form or type of government used in the context of ancient Rome.
  • B. RomanRepresentative
    Indicates that one entity serves as an official representative or agent of the Roman state, authority, or interests in relation to another entity.
  • C. roleInRome chosen
    Indicates that an entity holds or held a specific role, position, or function within the context of Rome or Roman society.
  • D. praetorianPrefect
    Indicates a relationship where a person holds or is associated with the office or role of praetorian prefect.
  • E. allyOfRome
    Indicates a relationship where one entity is politically or militarily aligned with, and offers support or cooperation to, Rome.
  • 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_69f3496ca10c8190908640d18fa00832 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f760a35b988190904e6267553ad2fe completed May 3, 2026, 2:50 p.m.
PD Predicate disambiguation batch_69f75eb3d6f081908c933474eb359e3d completed May 3, 2026, 2:41 p.m.
Created at: May 1, 2026, 1:35 a.m.