Triple

T4950057
Position Surface form Disambiguated ID Type / Status
Subject Tabasaran E111145 entity
Predicate closelyRelatedTo P37 FINISHED
Object Rutul
Rutul is a Northeast Caucasian language spoken by the Rutul people primarily in southern Dagestan, Russia, and parts of northern Azerbaijan.
 E483554 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: Rutul | Statement: [Tabasaran, closelyRelatedTo, Rutul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rutul
Context triple: [Tabasaran, closelyRelatedTo, Rutul]
  • A. Otradnoye
    Otradnoye is a town in Russia located within the Leningrad (Saint Petersburg) region, known for its position along the Neva River and proximity to Saint Petersburg.
  • B. Otradnoye
    Otradnoye is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Otradnoye District in northern Moscow.
  • C. Kudrovo
    Kudrovo is a rapidly growing suburban town on the eastern outskirts of Saint Petersburg, Russia, known for its dense residential developments and proximity to the city.
  • D. Terekhovo
    Terekhovo is a metro station on Moscow’s Big Circle Line, serving the Terekhovo area in the western part of the city.
  • E. Oreshek
    Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
  • 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: Rutul
Triple: [Tabasaran, closelyRelatedTo, Rutul]
Generated description
Rutul is a Northeast Caucasian language spoken by the Rutul people primarily in southern Dagestan, Russia, and parts of northern Azerbaijan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rutul
Target entity description: Rutul is a Northeast Caucasian language spoken by the Rutul people primarily in southern Dagestan, Russia, and parts of northern Azerbaijan.
  • A. Otradnoye
    Otradnoye is a town in Russia located within the Leningrad (Saint Petersburg) region, known for its position along the Neva River and proximity to Saint Petersburg.
  • B. Otradnoye
    Otradnoye is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Otradnoye District in northern Moscow.
  • C. Kudrovo
    Kudrovo is a rapidly growing suburban town on the eastern outskirts of Saint Petersburg, Russia, known for its dense residential developments and proximity to the city.
  • D. Terekhovo
    Terekhovo is a metro station on Moscow’s Big Circle Line, serving the Terekhovo area in the western part of the city.
  • E. Oreshek
    Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
  • 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_69bd441721cc819085c7e33fe0876818 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7167f97481908db5bfa9338e3824 completed March 20, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81d03b088190aa6601298ee4d8fd completed March 21, 2026, 11:32 a.m.
NEDg Description generation batch_69be8625c100819086b9621b43268164 completed March 21, 2026, 11:51 a.m.
NED2 Entity disambiguation (via description) batch_69be8675c7e08190b01880a679554412 completed March 21, 2026, 11:52 a.m.
Created at: March 20, 2026, 1:31 p.m.