Triple

T22278190
Position Surface form Disambiguated ID Type / Status
Subject A360 Lena Highway E550659 entity
Predicate roadNumber P1864 FINISHED
Object A360
A360 is a major federal highway in Russia that connects the city of Yakutsk with the Lena River region and forms part of the country’s key northeastern transport corridor.
E1529021 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: A360 | Statement: [A360 Lena Highway, roadNumber, A360]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A360
Context triple: [A360 Lena Highway, roadNumber, A360]
  • A. A36
    A36 is a French autoroute designation for a major motorway connecting the regions of eastern France and linking important cities and transport corridors.
  • B. A361
    The A361 is a major road in southwest England that links the town of Barnstaple with other key routes and destinations in the region.
  • C. A3400
    The A3400 is a primary road in England that runs through parts of Warwickshire and the surrounding region, connecting towns and villages including Atherstone-on-Stour.
  • D. A3651
    A3651 is a galaxy cluster listed in the Abell catalog of rich clusters of galaxies.
  • E. A60
    A60 is a major road in England that runs through Nottinghamshire and connects Nottingham with surrounding towns including West Bridgford and Loughborough.
  • 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: A360
Triple: [A360 Lena Highway, roadNumber, A360]
Generated description
A360 is a major federal highway in Russia that connects the city of Yakutsk with the Lena River region and forms part of the country’s key northeastern transport corridor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: A360
Target entity description: A360 is a major federal highway in Russia that connects the city of Yakutsk with the Lena River region and forms part of the country’s key northeastern transport corridor.
  • A. A36
    A36 is a French autoroute designation for a major motorway connecting the regions of eastern France and linking important cities and transport corridors.
  • B. A361
    The A361 is a major road in southwest England that links the town of Barnstaple with other key routes and destinations in the region.
  • C. A3400
    The A3400 is a primary road in England that runs through parts of Warwickshire and the surrounding region, connecting towns and villages including Atherstone-on-Stour.
  • D. A3651
    A3651 is a galaxy cluster listed in the Abell catalog of rich clusters of galaxies.
  • E. A60
    A60 is a major road in England that runs through Nottinghamshire and connects Nottingham with surrounding towns including West Bridgford and Loughborough.
  • 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_69e11e44d538819097c6b8f333af3352 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea96948819081c1ae6c7b11ab62 completed April 29, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0abca612008190bcb1c38523223ed7 completed May 18, 2026, 7:15 a.m.
NEDg Description generation batch_6a0ac0d258d88190a73427e02373a4bc completed May 18, 2026, 7:33 a.m.
NED2 Entity disambiguation (via description) batch_6a0ac1e9666c8190b183c069deaf487c completed May 18, 2026, 7:38 a.m.
Created at: April 16, 2026, 8:40 p.m.