Triple

T14129779
Position Surface form Disambiguated ID Type / Status
Subject Donovaly Pass E340130 entity
Predicate traversedBy P225 FINISHED
Object road E77 E1034991 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: road E77 | Statement: [Donovaly Pass, traversedBy, road E77]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: road E77
Context triple: [Donovaly Pass, traversedBy, road E77]
  • A. European route E70
    European route E70 is a major west–east trans-European highway running from Spain through France, Italy, the Balkans and Turkey to Georgia along the Black Sea.
  • B. R70 road
    The R70 road is a regional route in South Africa that links the mining city of Welkom with other towns in the Free State province.
  • C. European route E77 chosen
    European route E77 is a north–south trans-European highway that runs from Pskov in Russia through the Baltic states and Poland to Budapest in Hungary, connecting several major cities along its route.
  • D. European route E75
    European route E75 is a major north–south European highway running from northern Norway through several Central and Eastern European countries to Greece.
  • E. European route E71
    European route E71 is a north–south international road in the E-road network that runs through Central and Eastern Europe, connecting Slovakia and Hungary to Croatia and the Adriatic coast.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de610aa434819096671c5aabb9134a completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf0ed0a88190a7126887364fccdd completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:23 p.m.