Triple

T4710033
Position Surface form Disambiguated ID Type / Status
Subject Baikal–Amur Mainline E104485 entity
Predicate startPoint P389 FINISHED
Object Tayshet
Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
 E469282 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: Tayshet | Statement: [Baikal–Amur Mainline, startPoint, Tayshet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tayshet
Context triple: [Baikal–Amur Mainline, startPoint, Tayshet]
  • A. Shughni
    Shughni is an Eastern Iranian language spoken primarily in the Badakhshan region of Tajikistan and Afghanistan, known for its use among the Shughni people in the Pamir Mountains.
  • B. Tawilis
    Tawilis is a small freshwater sardine species found only in the Philippines’ Taal Lake and is notable as the world’s only known freshwater sardine.
  • C. Terevaka
    Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
  • D. Yura
    Yura is a common Slavic diminutive form of the male given name Yuri (or Yuriy), often used as a familiar or affectionate nickname.
  • E. 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.
  • 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: Tayshet
Triple: [Baikal–Amur Mainline, startPoint, Tayshet]
Generated description
Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tayshet
Target entity description: Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
  • A. Shughni
    Shughni is an Eastern Iranian language spoken primarily in the Badakhshan region of Tajikistan and Afghanistan, known for its use among the Shughni people in the Pamir Mountains.
  • B. Tawilis
    Tawilis is a small freshwater sardine species found only in the Philippines’ Taal Lake and is notable as the world’s only known freshwater sardine.
  • C. Terevaka
    Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
  • D. Yura
    Yura is a common Slavic diminutive form of the male given name Yuri (or Yuriy), often used as a familiar or affectionate nickname.
  • E. 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.
  • 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_69bd43eac3c08190af7e4020c6c3704c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63ee712c81908da60aa0df58efe0 completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43a16d1c819081e9e20f015c7f90 completed March 21, 2026, 7:07 a.m.
NEDg Description generation batch_69be443674b081909a4fc17c6a087198 completed March 21, 2026, 7:09 a.m.
NED2 Entity disambiguation (via description) batch_69be44e6f9108190bd27468aa966b60a completed March 21, 2026, 7:12 a.m.
Created at: March 20, 2026, 1:17 p.m.