Triple

T2334633
Position Surface form Disambiguated ID Type / Status
Subject South Ossetia E44281 entity
Predicate largestCity P235 FINISHED
Object Tskhinvali E115458 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: Tskhinvali | Statement: [South Ossetia, largestCity, Tskhinvali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tskhinvali
Context triple: [South Ossetia, largestCity, Tskhinvali]
  • A. Tskhinvali chosen
    Tskhinvali is the capital city of the breakaway region of South Ossetia in the South Caucasus, serving as its political and administrative center.
  • B. Zugdidi
    Zugdidi is a city in western Georgia that serves as the main urban and administrative center of the Samegrelo region.
  • C. Rustavi
    Rustavi is an industrial city in southeastern Georgia, located near the capital Tbilisi and known for its steel production and Soviet-era urban planning.
  • D. Telavi
    Telavi is a historic city in eastern Georgia known as the cultural and economic center of the Kakheti wine-producing region.
  • E. Akhaltsikhe
    Akhaltsikhe is a historic city in southern Georgia known for its multicultural heritage and the restored Rabati Castle complex.
  • 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_69a889132b488190bbb43ad4780ddd92 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc687362c8190a55b3d6cb1580d56 completed March 7, 2026, 6:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5cce716c8190b87b117b270b9a84 completed March 9, 2026, 11:50 p.m.
Created at: March 4, 2026, 7:51 p.m.