Triple

T19364801
Position Surface form Disambiguated ID Type / Status
Subject EB E484373 entity
Predicate regionalUnit P766 FINISHED
Object Evros 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: Evros | Statement: [EB, regionalUnit, Evros]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evros
Context triple: [EB, regionalUnit, Evros]
  • A. Evros chosen
    Evros is a regional unit in northeastern Greece bordering Turkey and Bulgaria, known for its namesake river and strategic geopolitical location.
  • B. Evros Delta
    Evros Delta is a biologically rich wetland area at the mouth of the Evros River, known for its diverse birdlife and ecological importance on the border between Greece and Turkey.
  • C. Evrostina
    Evrostina is a village in the Corinthia region of the Peloponnese in Greece, known for its mountainous landscape and traditional character.
  • D. Nea Erythraia
    Nea Erythraia is a suburban area in the northern part of the Athens metropolitan region in Greece, known for its residential character and proximity to Kifisia.
  • E. Roumeli
    Roumeli is a historical region in central Greece that played a key role in the Greek War of Independence.
  • 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e619aa9ff48190b1ede47fb88a682e completed April 20, 2026, 12:18 p.m.
Created at: April 10, 2026, 1:35 p.m.