Triple

T18637039
Position Surface form Disambiguated ID Type / Status
Subject Roman province of Lazicum E455577 entity
Predicate culturalRegion P1968 FINISHED
Object Lazistan NE NERFINISHED

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: Lazistan | Statement: [Roman province of Lazicum, culturalRegion, Lazistan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lazistan
Context triple: [Roman province of Lazicum, culturalRegion, Lazistan]
  • A. Lazistan chosen
    Lazistan is a historical coastal region along the southeastern Black Sea, traditionally inhabited by the Laz people and now largely within northeastern Turkey and parts of Georgia.
  • B. Sijistan
    Sijistan (also known as Sistan) is a historical region in eastern Iran and southwestern Afghanistan that was an important center of early Islamic scholarship and culture.
  • C. Turki
    Turki is a historical Turkic language associated with Central Asian and Mughal courts, used as a literary and administrative tongue across various Turkic-speaking regions.
  • D. Doğu
    Doğu is a Turkish given name most notably borne by Doğu Perinçek, a prominent Turkish politician and leader of the left-wing nationalist Patriotic Party.
  • E. Ladania
    Ladania is a town located in the Madhubani district of the Indian state of Bihar.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54fc9fa6c81909e1b988bdfb5ebcc completed April 19, 2026, 9:57 p.m.
Created at: April 10, 2026, 11:46 a.m.