Triple

T2864664
Position Surface form Disambiguated ID Type / Status
Subject Vyshny Volochyok E63408 entity
Predicate hasTransport P1298 FINISHED
Object M10 highway E219843 NE FINISHED

How this triple was built (2 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: M10 highway | Statement: [Vyshny Volochyok, hasTransport, M10 highway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M10 highway
Context triple: [Vyshny Volochyok, hasTransport, M10 highway]
  • A. M10 highway chosen
    The M10 highway is a major Russian federal road that connects Moscow and Saint Petersburg, passing through cities such as Tver.
  • B. M-7 highway
    The M-7 highway is a major federal road in Russia that connects Moscow with key cities in the Volga region and further toward the Ural area, serving as an important eastward transport corridor.
  • C. M-1 highway
    The M-1 highway is a major Russian federal road that connects Moscow with the border of Belarus as part of the international route between Moscow and Western Europe.
  • D. M-8 highway
    The M-8 highway is a major Russian federal road that connects Moscow with the northern city of Arkhangelsk, serving as a key transport corridor through the central and northern regions of European Russia.
  • E. M-9 Motorway
    The M-9 Motorway is a major Pakistani expressway that links the cities of Karachi and Hyderabad in the province of Sindh.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ab4c42fb8c8190b36e161d47c03b81 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdfb9e64c819087b1a47caeb174d5 completed March 7, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69b4e4c7f8c4819097be8b80d4064806 completed March 14, 2026, 4:32 a.m.
Created at: March 6, 2026, 10:02 p.m.