Triple

T1973249
Position Surface form Disambiguated ID Type / Status
Subject Via Sacra E42847 entity
Predicate passes P1308 FINISHED
Object Regia E42850 NE 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: Regia | Statement: [Via Sacra, passes, Regia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Regia
Context triple: [Via Sacra, passes, Regia]
  • A. Regia chosen
    Regia was an important ancient building in the Roman Forum that served as the traditional residence and administrative center of Rome’s early kings and later the pontifex maximus.
  • B. Le Cinéma
    Le Cinéma is a movie theater within Tokyo’s Bunkamura cultural complex, known for screening a curated selection of domestic and international films.
  • C. Brida
    Brida is a novel by Brazilian author Paulo Coelho that follows a young Irish woman’s spiritual journey as she explores witchcraft, love, and self-discovery.
  • D. Baran
    Baran is a surname most notably associated with Paul Baran, a pioneering engineer of packet-switched networks and early internet technology.
  • E. Mr. Director
    Mr. Director is the formal style of address used for the Cabinet-level head of the United States Office of Management and Budget.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a8871289048190b00b0d7744b7b2b1 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3f477988190b0165fc46b1cccfd completed March 7, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0acfce948190bb714023b6dab9ed completed March 8, 2026, 11:48 p.m.
Created at: March 4, 2026, 7:36 p.m.