Triple

T3329230
Position Surface form Disambiguated ID Type / Status
Subject Theodosia E69993 entity
Predicate hasLandmark P105 FINISHED
Object Feodosia port 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 port | Statement: [Theodosia, hasLandmark, Feodosia port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Feodosia port
Context triple: [Theodosia, hasLandmark, Feodosia port]
  • 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. Port of Berdyansk
    The Port of Berdyansk is a key commercial seaport on the northern coast of the Sea of Azov, serving as an important maritime gateway for regional trade and industry.
  • C. Port of Kherson
    The Port of Kherson is a key river and sea transport hub on the Dnieper River near the Black Sea, serving as an important center for cargo handling and regional trade in southern Ukraine.
  • D. Yevpatoria
    Yevpatoria is a historic resort and port city on the western coast of Crimea, known for its beaches, therapeutic mud treatments, and diverse cultural heritage.
  • E. Simferopol–Alushta
    Simferopol–Alushta is the central mountain-crossing section of the Crimean trolleybus route that links the regional capital Simferopol with the Black Sea resort town of Alushta.
  • 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_69ad85a24f208190bcf83131bfed3521 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1708b908190bc5c4122623d9b77 completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3667a288190aa79835f5d621942 completed March 14, 2026, 2:09 a.m.
Created at: March 8, 2026, 3:12 p.m.