Triple

T11205174
Position Surface form Disambiguated ID Type / Status
Subject Alutus E265141 entity
Predicate associatedWith P37 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: [Alutus, associatedWith, Dacia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dacia
Context triple: [Alutus, associatedWith, 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. dux Daciae Ripensis
    Dux Daciae Ripensis was the late Roman military commander responsible for defending and administering the frontier province of Dacia Ripensis along the Danube.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8d355c481908fc3d555b596314d completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4972bfbd481908cd0da59389ae17c completed April 19, 2026, 8:49 a.m.
Created at: April 8, 2026, 9:30 p.m.