Triple

T21206840
Position Surface form Disambiguated ID Type / Status
Subject Akhmeteli Theatre E522607 entity
Predicate locatedIn P40 FINISHED
Object Gldani district 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: Gldani district | Statement: [Akhmeteli Theatre, locatedIn, Gldani district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gldani district
Context triple: [Akhmeteli Theatre, locatedIn, Gldani district]
  • A. Gldani District chosen
    Gldani District is a municipal district of Tbilisi, Georgia, encompassing the large residential area of Gldani and its surrounding neighborhoods.
  • B. Terezayi District
    Terezayi District is an administrative district located in Khost Province in southeastern Afghanistan.
  • C. Hajigabul District
    Hajigabul District is an administrative region in central Azerbaijan known for its semi-arid landscapes and strategic location along major transport routes.
  • D. Zaqatala District
    Zaqatala District is an administrative region in northwestern Azerbaijan known for its mountainous landscapes, diverse ethnic communities, and location along the border with Georgia and Dagestan.
  • E. Buloburde District
    Buloburde District is an administrative district in central Somalia, centered around the town of Buloburde in the Hiran region.
  • 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_69e0b5112d8881909510b2dcdc93106d completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73435322c8190bf4156fbd14edc5c completed April 21, 2026, 8:24 a.m.
Created at: April 16, 2026, 3:24 p.m.