Triple

T5285905
Position Surface form Disambiguated ID Type / Status
Subject Lazica E119617 entity
Predicate alsoKnownAs P39 FINISHED
Object Lazistan E44677 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: Lazistan | Statement: [Lazica, alsoKnownAs, Lazistan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lazistan
Context triple: [Lazica, alsoKnownAs, 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. Ladania
    Ladania is a town located in the Madhubani district of the Indian state of Bihar.
  • E. Touqan
    Touqan is a family name of notable Palestinian origin, associated with prominent poets, politicians, and intellectuals in the Arab world.
  • 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_69bd446de5648190b313a90bd96730d2 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84d7de908190820c31fe6eb98dac completed March 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06e98e48819091c666cf7872a7f8 completed March 21, 2026, 9 p.m.
Created at: March 20, 2026, 1:52 p.m.