Triple

T15777220
Position Surface form Disambiguated ID Type / Status
Subject Baku Boulevard E382520 entity
Predicate followsShorelineOf P1865 FINISHED
Object Baku Bay E1176360 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: Baku Bay | Statement: [Baku Boulevard, followsShorelineOf, Baku Bay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baku Bay
Context triple: [Baku Boulevard, followsShorelineOf, Baku Bay]
  • A. Baku Bay chosen
    Baku Bay is a natural bay on the Caspian Sea that forms the waterfront of Azerbaijan’s capital, Baku, and serves as a key geographic and cultural landmark of the city.
  • B. Dvina Bay
    Dvina Bay is a large inlet of the White Sea in northwestern Russia, known for its connection to the Northern Dvina River and the port city of Arkhangelsk.
  • C. Tuapse Bay
    Tuapse Bay is a coastal inlet on the northeastern shore of the Black Sea, serving as the maritime setting for the Russian port city of Tuapse.
  • D. Berdyansk Bay
    Berdyansk Bay is a shallow bay of the Sea of Azov in southeastern Ukraine, known for its coastal resort areas and the port city of Berdyansk on its shores.
  • E. Gelendzhik Bay
    Gelendzhik Bay is a scenic Black Sea inlet on Russia’s Caucasian coast, known for its resort beaches and the seaside city of Gelendzhik along its shores.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05199cd8881909462462cec34d35a completed April 16, 2026, 3:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff998559088190b1f2942564a42ace completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:47 a.m.