Triple

T17943164
Position Surface form Disambiguated ID Type / Status
Subject Armavia E448634 entity
Predicate operatedRoute P18593 FINISHED
Object Yerevan–Athens NE NERFINISHED

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: Yerevan–Athens | Statement: [Armavia, operatedRoute, Yerevan–Athens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yerevan–Athens
Context triple: [Armavia, operatedRoute, Yerevan–Athens]
  • A. Paris–Istanbul
    Paris–Istanbul is the historic trans-European rail corridor linking the French capital with the former Ottoman and modern Turkish capital, famously traversed by the luxury Orient Express.
  • B. Leros–Athens chosen
    Leros–Athens is a regional air route in Greece connecting the island of Leros with the country’s capital city, Athens.
  • C. Tbilisi–Yerevan service
    The Tbilisi–Yerevan service is an international passenger train connection linking the capitals of Georgia and Armenia across the South Caucasus.
  • D. Marneuli
    Marneuli is a town in southern Georgia known for its ethnically diverse population, particularly its large Azerbaijani community, and its role as an agricultural and regional trade center.
  • E. Dilijan
    Dilijan is a picturesque spa town in Armenia’s Tavush Province, known for its forested landscapes, traditional architecture, and proximity to Dilijan National Park.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4ad97611c8190a861467ae51f6c48 completed April 19, 2026, 10:25 a.m.
Created at: April 10, 2026, 10:21 a.m.