Triple

T4159700
Position Surface form Disambiguated ID Type / Status
Subject Дигор E91500 entity
Predicate hasExonym P4705 FINISHED
Object Digor
Digor is a dialect of the Ossetian language spoken primarily in the western part of North Ossetia–Alania in the Caucasus region.
 E417310 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: Digor | Statement: [Дигор, hasExonym, Digor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Digor
Context triple: [Дигор, hasExonym, Digor]
  • A. Gaheris
    Gaheris is a knight of the Round Table in Arthurian legend, known as one of King Arthur’s nephews and a member of the Orkney clan.
  • B. Dorohusk
    Dorohusk is a village in eastern Poland near the Ukrainian border, known as an important road and rail border crossing point between the two countries.
  • C. Rigmor
    Rigmor is a feminine given name of Scandinavian origin, particularly used in Norway and Denmark.
  • D. Boorga
    Boorga is a small rural locality within the Hay Shire local government area in New South Wales, Australia.
  • E. Hyllus
    Hyllus is a figure in Greek mythology known as the son of Heracles and Deianira, often associated with the Dorian invasion and the Heracleidae.
  • 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: Digor
Triple: [Дигор, hasExonym, Digor]
Generated description
Digor is a dialect of the Ossetian language spoken primarily in the western part of North Ossetia–Alania in the Caucasus region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Digor
Target entity description: Digor is a dialect of the Ossetian language spoken primarily in the western part of North Ossetia–Alania in the Caucasus region.
  • A. Gaheris
    Gaheris is a knight of the Round Table in Arthurian legend, known as one of King Arthur’s nephews and a member of the Orkney clan.
  • B. Dorohusk
    Dorohusk is a village in eastern Poland near the Ukrainian border, known as an important road and rail border crossing point between the two countries.
  • C. Rigmor
    Rigmor is a feminine given name of Scandinavian origin, particularly used in Norway and Denmark.
  • D. Boorga
    Boorga is a small rural locality within the Hay Shire local government area in New South Wales, Australia.
  • E. Hyllus
    Hyllus is a figure in Greek mythology known as the son of Heracles and Deianira, often associated with the Dorian invasion and the Heracleidae.
  • 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.