Triple

T4159796
Position Surface form Disambiguated ID Type / Status
Subject Nart sagas E91502 entity
Predicate featuresCharacter P626 FINISHED
Object Akhsar
Akhsar is a heroic figure from the Nart sagas, the traditional epic folklore of the peoples of the Caucasus.
 E417326 NE FINISHED

How this triple was built (4 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: Akhsar | Statement: [Nart sagas, featuresCharacter, Akhsar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Akhsar
Context triple: [Nart sagas, featuresCharacter, Akhsar]
  • A. Arakhin
    Arakhin is a tractate of the Mishnah and Talmud that deals primarily with the laws of vows of valuation and consecration to the Temple.
  • B. Chardakhlu
    Chardakhlu is a village in the South Caucasus historically known as the birthplace of prominent Soviet Armenian military commander Ivan Bagramyan.
  • C. Ashkun
    Ashkun is a Nuristani language spoken by the Ashkun people in parts of eastern Afghanistan.
  • D. Sharazan
    "Sharazan" is a popular Italian pop song performed by the duo Al Bano and Romina Power, known for its melodic style and romantic themes.
  • E. Abasha
    Abasha is a small town in western Georgia’s Samegrelo region, known as a local administrative and cultural center.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Akhsar
Triple: [Nart sagas, featuresCharacter, Akhsar]
Generated description
Akhsar is a heroic figure from the Nart sagas, the traditional epic folklore of the peoples of the Caucasus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Akhsar
Target entity description: Akhsar is a heroic figure from the Nart sagas, the traditional epic folklore of the peoples of the Caucasus.
  • A. Arakhin
    Arakhin is a tractate of the Mishnah and Talmud that deals primarily with the laws of vows of valuation and consecration to the Temple.
  • B. Chardakhlu
    Chardakhlu is a village in the South Caucasus historically known as the birthplace of prominent Soviet Armenian military commander Ivan Bagramyan.
  • C. Ashkun
    Ashkun is a Nuristani language spoken by the Ashkun people in parts of eastern Afghanistan.
  • D. Sharazan
    "Sharazan" is a popular Italian pop song performed by the duo Al Bano and Romina Power, known for its melodic style and romantic themes.
  • E. Abasha
    Abasha is a small town in western Georgia’s Samegrelo region, known as a local administrative and cultural center.
  • F. None of above. chosen

Provenance (5 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_69aed9626ebc8190a39de631788bea3e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af029454d08190b7ff32776081fabc completed March 9, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f40678481908894ff315932a610 completed March 14, 2026, 3:31 p.m.
NEDg Description generation batch_69b57ff73cf88190b103db0694c1a923 completed March 14, 2026, 3:34 p.m.
NED2 Entity disambiguation (via description) batch_69b58094c690819080dbde068ff1b119 completed March 14, 2026, 3:36 p.m.
Created at: March 9, 2026, 3:44 p.m.