Triple

T1814560
Position Surface form Disambiguated ID Type / Status
Subject Pontic Greek E40406 entity
Predicate hasDialect P4251 FINISHED
Object Mariupol Greek E54211 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: Mariupol Greek | Statement: [Pontic Greek, hasDialect, Mariupol Greek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mariupol Greek
Context triple: [Pontic Greek, hasDialect, Mariupol Greek]
  • A. Mariupol chosen
    Mariupol is a major industrial city in southeastern Ukraine known for its strategic port on the Sea of Azov and its significant role in recent military conflicts.
  • B. Salonika
    Salonika, historically known as Thessaloniki, is a major port city in northern Greece that has long served as a key commercial and cultural crossroads of the Balkans and the eastern Mediterranean.
  • C. Mykolaiv
    Mykolaiv is a major shipbuilding and industrial city in southern Ukraine located near the Black Sea.
  • D. Missolonghi
    Missolonghi is a historic Greek town in western Greece, renowned for its role in the Greek War of Independence and as the place where the poet Lord Byron died.
  • E. Feodosia
    Feodosia is a historic port city on the southeastern coast of Crimea, known for its Black Sea beaches, medieval fortifications, and association with painter Ivan Aivazovsky.
  • 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_69a8864526c081908a3a4d74f689e2c5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65c905ec8190bea7cd72d218487a completed March 6, 2026, 5:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf5de46c8190817f67d692e98803 completed March 8, 2026, 6:26 p.m.
Created at: March 4, 2026, 7:32 p.m.