Triple

T2360935
Position Surface form Disambiguated ID Type / Status
Subject Zakatal Okrug E47268 entity
Predicate administrativeCenter P1474 FINISHED
Object Zakatala E259670 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: Zakatala | Statement: [Zakatal Okrug, administrativeCenter, Zakatala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zakatala
Context triple: [Zakatal Okrug, administrativeCenter, Zakatala]
  • A. Zakatala chosen
    Zakatala is a town in northwestern Azerbaijan known as an administrative and cultural center in the foothills of the Caucasus Mountains.
  • B. Tajewala
    Tajewala is a village in the Yamunanagar district of Haryana, India, historically known for the Tajewala Barrage on the Yamuna River, which was later replaced by the nearby Hathni Kund Barrage.
  • C. Krakhuna
    Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
  • D. Kuqa
    Kuqa is an ancient oasis city in China’s Xinjiang region that historically served as a key Buddhist and Silk Road cultural center in the Tarim Basin.
  • E. Khoni
    Khoni is a small town in western Georgia’s Imereti region, known for its historical churches and surrounding natural landscapes.
  • 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_69a88a1a4a6081908645b0f2914521ab completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc723c66481908a9b94991f651b3b completed March 7, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3c37c448190b2d1fd5c404e0050 completed March 9, 2026, 11:49 a.m.
Created at: March 4, 2026, 7:55 p.m.