Triple

T8781441
Position Surface form Disambiguated ID Type / Status
Subject Brescia E208736 entity
Predicate wasRomanMunicipium P50574 FINISHED
Object true 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: true | Statement: [Brescia, wasRomanMunicipium, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: wasRomanMunicipium
Context triple: [Brescia, wasRomanMunicipium, true]
  • A. wasRomanTown chosen
    Indicates that the subject entity functioned as a town or urban settlement during the period of the Roman Empire.
  • B. laterRomanAdministrativeUnit
    Indicates that one entity functioned as an administrative unit within the later Roman Empire in relation to another entity.
  • C. nearbyRomanTown
    Indicates that one location is geographically close to a town that existed during the Roman period.
  • D. wasRomanFort
    Indicates that the subject functioned as a Roman military fort at some point in time.
  • E. preRomanCenterOf
    Indicates that a place served as the primary political, cultural, or administrative center of a region or community before the establishment of Roman control or influence.
  • 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_69ca835fbee88190bf625939bac48d7f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f55b7b08190ab3e18cd634a144b completed March 31, 2026, 11:57 p.m.
PD Predicate disambiguation batch_69cc5c1aff3881908be6a9cbc9f50461 completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:42 p.m.