Triple

T1703640
Position Surface form Disambiguated ID Type / Status
Subject Via Appia E36820 entity
Predicate builtUnderAuthorityOf P18538 FINISHED
Object Roman censors 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: Roman censors | Statement: [Via Appia, builtUnderAuthorityOf, Roman censors]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: builtUnderAuthorityOf
Context triple: [Via Appia, builtUnderAuthorityOf, Roman censors]
  • A. hasLegalAuthorityFrom
    Indicates that one entity possesses formal legal power, rights, or authorization that originates from or is granted by another entity.
  • B. usesAuthorityOf chosen
    Indicates that one entity exercises power, rights, or influence derived from or on behalf of another entity’s authority.
  • C. legalAuthorityOver
    Indicates that one entity has the recognized power or right to make, enforce, or adjudicate rules or decisions concerning another entity.
  • D. legislatedUnder
    Indicates that a law, regulation, or policy was created, enacted, or established according to the authority, framework, or provisions of a specific higher-level law or legal regime.
  • E. legitimizedBy
    Indicates that something gains legal, formal, or social validity as a result of the authority, action, or endorsement of another entity.
  • 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_69a88617439c819094ffb5d16a0f6307 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69ab75ad24408190814069e6e3ef9e59 completed March 7, 2026, 12:47 a.m.
PD Predicate disambiguation batch_69aa61bad17c8190861b92cfb423f68f completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:30 p.m.