Triple

T15725325
Position Surface form Disambiguated ID Type / Status
Subject Legio V Macedonica E381204 entity
Predicate stationedAt P40 FINISHED
Object Dacia E211817 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: Dacia | Statement: [Legio V Macedonica, stationedAt, Dacia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dacia
Context triple: [Legio V Macedonica, stationedAt, Dacia]
  • A. Dacia chosen
    Dacia was an ancient region in Eastern Europe, roughly corresponding to modern-day Romania and surrounding areas, known for its conflicts and eventual conquest by the Roman Empire.
  • B. Dacia
    Dacia is a Romanian car manufacturer known for producing affordable, no-frills vehicles, owned by the French automotive group Renault.
  • C. Dacia Mediterranea
    Dacia Mediterranea was a late Roman province in the central Balkans, created from parts of earlier Dacian and Moesian territories and centered around important cities such as Serdica (modern Sofia).
  • D. Dacia Ripensis
    Dacia Ripensis was a late Roman province along the Danube frontier in the Balkans, known as a militarized border region of the empire.
  • E. Rumen
    Rumen is a masculine given name commonly used in Bulgaria and other Slavic countries.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb357a88190a92641c8a8c20573 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82f8b88081909855d3da0346fa25 completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:46 a.m.