Triple

T13333639
Position Surface form Disambiguated ID Type / Status
Subject იევლახი E317632 entity
Predicate partOf P40 FINISHED
Object იევლახის რაიონი E529343 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: იევლახის რაიონი | Statement: [იევლახი, partOf, იევლახის რაიონი]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: იევლახის რაიონი
Context triple: [იევლახი, partOf, იევლახის რაიონი]
  • A. იევლახი
    იევლახი არის აზერბაიჯანის ქალაქი, რომელიც ქვეყნის ცენტრალურ ნაწილში მდებარეობს და მნიშვნელოვანი სატრანსპორტო და სამრეწველო ცენტრის როლს ასრულებს.
  • B. Laishevo District
    Laishevo District is an administrative district in the Republic of Tatarstan, Russia, situated near the city of Kazan and notable for encompassing the area served by Kazan International Airport.
  • C. Yevlakh District chosen
    Yevlakh District is an administrative region in central Azerbaijan that encompasses the city of Yevlakh and surrounding rural areas.
  • D. Yevlakh
    Yevlakh is a city in central Azerbaijan that serves as an important regional transport and agricultural hub.
  • E. Yuryevetsky District
    Yuryevetsky District is an administrative and municipal district in Ivanovo Oblast, Russia, comprising several rural localities and the town of Yuryevets as its center.
  • 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99cff44e08190b9583baf0b626e42 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f36e4cc819093007404ceb5da31 completed May 3, 2026, 10:11 a.m.
Created at: April 9, 2026, 9:30 p.m.