Triple

T13482258
Position Surface form Disambiguated ID Type / Status
Subject Almaty Region E318399 entity
Predicate containsCity P294 FINISHED
Object Taldykorgan E1043115 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: Taldykorgan | Statement: [Almaty Region, containsCity, Taldykorgan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taldykorgan
Context triple: [Almaty Region, containsCity, Taldykorgan]
  • A. Taldykorgan chosen
    Taldykorgan is a city in southeastern Kazakhstan that serves as an important administrative, economic, and cultural center for the surrounding region.
  • B. Chormaqan
    Chormaqan was a prominent Mongol general of the early 13th century who led major campaigns in the Caucasus and the Middle East, consolidating Mongol control over the region.
  • C. Krakhuna
    Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
  • D. Takhiatash
    Takhiatash is an industrial city in western Uzbekistan known for its power plant and location near the Amu Darya River in the autonomous Republic of Karakalpakstan.
  • E. Kurnub
    Kurnub is an alternative name for Mamshit, an ancient Nabatean caravan town and archaeological site in the Negev Desert of Israel.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf3868ec8190a6a1803018d4f2d8 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75481b6f48190b6cd6cef3e8dee20 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:42 p.m.