Triple

T3344398
Position Surface form Disambiguated ID Type / Status
Subject Dacian Wars E70335 entity
Predicate location 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: [Dacian Wars, location, Dacia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dacia
Context triple: [Dacian Wars, location, 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 Ripensis
    Dacia Ripensis was a late Roman province along the Danube frontier in the Balkans, known as a militarized border region of the empire.
  • C. Banat
    Banat is a historical region in Central Europe, now divided among Romania, Serbia, and Hungary, known for its ethnic diversity and multicultural heritage.
  • D. Dardania
    Dardania was an ancient region in the central Balkans, roughly corresponding to parts of modern Kosovo and surrounding areas, known as a Roman and later Byzantine province.
  • E. Muntenia
    Muntenia is a historical region in southern Romania, encompassing the area between the Carpathian Mountains and the Danube River and including the nation’s capital, Bucharest.
  • 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_69ad85a405e48190b6e68de7cf9f319e completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1f23008819084ea68b8431c50ab completed March 8, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3251d49d08190b74483b69024acff completed March 12, 2026, 8:42 p.m.
Created at: March 8, 2026, 3:12 p.m.