Triple

T40384
Position Surface form Disambiguated ID Type / Status
Subject Crimea E798 entity
Predicate hasPortCity P2745 FINISHED
Object Feodosia E12601 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: Feodosia | Statement: [Crimea, hasPortCity, Feodosia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Feodosia
Context triple: [Crimea, hasPortCity, Feodosia]
  • A. Feodosia chosen
    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.
  • B. Sevastopol
    Sevastopol is a major port city on the Black Sea, historically significant as a naval base and the site of key military conflicts.
  • C. Simferopol
    Simferopol is the administrative and cultural center of Crimea, known as a key regional hub for transportation, education, and industry.
  • D. Kerch
    Kerch is a historic port city in eastern Crimea, strategically located on the Kerch Strait linking the Black Sea and the Sea of Azov.
  • E. Eupatoria
    Eupatoria is a historic resort and port city on the western coast of Crimea, known for its beaches, therapeutic muds, and diverse cultural heritage.
  • 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24ec1ef5481909daf99654dfa3f57 completed Feb. 28, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2b01346cc8190bbe82bd00e0bfc05 completed Feb. 28, 2026, 9:06 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.