Triple

T18367797
Position Surface form Disambiguated ID Type / Status
Subject Kalavryta E440094 entity
Predicate railwayConnectsTo P109198 FINISHED
Object Diakopto 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: Diakopto | Statement: [Kalavryta, railwayConnectsTo, Diakopto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diakopto
Context triple: [Kalavryta, railwayConnectsTo, Diakopto]
  • A. Diakopto chosen
    Diakopto is a coastal town in the northern Peloponnese of Greece, known as the starting point of the historic rack railway through the Vouraikos Gorge.
  • B. Dakis
    Dakis is the stage name of Dimitris Christopoulos, a Greek singer known for his popular recordings in the 1960s and 1970s.
  • C. Ampelokipoi
    Ampelokipoi is a central neighborhood of Athens, Greece, known for its dense urban character, major avenues, and significant commercial and residential activity.
  • D. Dek
    Dek is a short or informal nickname commonly used for someone named Derek.
  • E. Rakitin
    Rakitin is a character in Ivan Turgenev’s play "Two Women" (also known as "A Month in the Country"), typically portrayed as an intelligent, observant friend whose unrequited love and ironic detachment highlight the emotional tensions among the main characters.
  • 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5174f5f448190a1fc67d3039aadd9 completed April 19, 2026, 5:56 p.m.
Created at: April 10, 2026, 10:38 a.m.