Triple

T17195030
Position Surface form Disambiguated ID Type / Status
Subject Akhsar E417326 entity
Predicate hasSibling P363 FINISHED
Object Akhsartag E1255175 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: Akhsartag | Statement: [Akhsar, hasSibling, Akhsartag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akhsartag
Context triple: [Akhsar, hasSibling, Akhsartag]
  • A. Akhshartag chosen
    Akhshartag is a hero figure from the Nart sagas, the epic mythology of the Ossetian and broader Caucasian peoples.
  • B. Kharkhorin
    Kharkhorin is a town in central Mongolia located near the ruins of the ancient Mongol capital Karakorum and serves as a gateway to the historic Orkhon Valley.
  • C. Kyakhta–Altanbulag
    Kyakhta–Altanbulag is a major land border crossing point between Russia and Mongolia that facilitates trade and travel between the two countries.
  • D. Zavkhan
    Zavkhan is a remote, mountainous province in western Mongolia known for its diverse landscapes, including deserts, forests, and high peaks.
  • E. Toktogul
    Toktogul is a town in central Kyrgyzstan known for its proximity to the Toktogul Reservoir and its role in regional hydropower and agriculture.
  • 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_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42da9e6208190b5c4e5925e840217 completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01674bfabc8190bff7223e039089cc completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:38 a.m.