Triple

T4159799
Position Surface form Disambiguated ID Type / Status
Subject Nart sagas E91502 entity
Predicate featuresCharacter P626 FINISHED
Object Tlepsh
Tlepsh is a wise smith and culture hero from the Nart sagas of the Caucasus, known for his craftsmanship, intelligence, and magical abilities.
 E417328 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: Tlepsh | Statement: [Nart sagas, featuresCharacter, Tlepsh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tlepsh
Context triple: [Nart sagas, featuresCharacter, Tlepsh]
  • A. Tarchuna
    Tarchuna is the ancient Etruscan city known in Latin as Tarquinii and in modern times as Tarquinia, a major cultural and political center of Etruria in central Italy.
  • B. Oreshek
    Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
  • C. Timbiša
    Timbiša is a Native American language of the Timbisha Shoshone people, traditionally spoken in the Death Valley region of California and Nevada.
  • D. Koropi
    Koropi is a town in the Athens metropolitan area of Greece, known as the seat of the municipality of Kropia and a local hub in the Mesogeia plain.
  • E. Khopyor
    Khopyor is a major river in southwestern Russia that flows through the Central Russian Upland before joining the Don River.
  • 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: Tlepsh
Triple: [Nart sagas, featuresCharacter, Tlepsh]
Generated description
Tlepsh is a wise smith and culture hero from the Nart sagas of the Caucasus, known for his craftsmanship, intelligence, and magical abilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tlepsh
Target entity description: Tlepsh is a wise smith and culture hero from the Nart sagas of the Caucasus, known for his craftsmanship, intelligence, and magical abilities.
  • A. Tarchuna
    Tarchuna is the ancient Etruscan city known in Latin as Tarquinii and in modern times as Tarquinia, a major cultural and political center of Etruria in central Italy.
  • B. Oreshek
    Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
  • C. Timbiša
    Timbiša is a Native American language of the Timbisha Shoshone people, traditionally spoken in the Death Valley region of California and Nevada.
  • D. Koropi
    Koropi is a town in the Athens metropolitan area of Greece, known as the seat of the municipality of Kropia and a local hub in the Mesogeia plain.
  • E. Khopyor
    Khopyor is a major river in southwestern Russia that flows through the Central Russian Upland before joining the Don River.
  • 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.