Triple

T20368539
Position Surface form Disambiguated ID Type / Status
Subject Bulgarian rail network E496982 entity
Predicate hasPortConnection P40470 FINISHED
Object Port of Varna 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: Port of Varna | Statement: [Bulgarian rail network, hasPortConnection, Port of Varna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Varna
Context triple: [Bulgarian rail network, hasPortConnection, Port of Varna]
  • A. Port of Burgas
    The Port of Burgas is Bulgaria’s largest seaport on the Black Sea, serving as a major regional hub for cargo, industry, and maritime transport.
  • B. Varna East Port chosen
    Varna East Port is a major Bulgarian Black Sea seaport serving the city of Varna as an important hub for regional maritime trade and transport.
  • C. Sozopol Port
    Sozopol Port is a coastal harbor and marina on Bulgaria’s Black Sea, serving fishing, tourism, and small commercial vessels for the historic town of Sozopol.
  • D. Port of Constanța
    The Port of Constanța is Romania’s largest seaport and a major Black Sea maritime hub for cargo, trade, and transportation.
  • E. Bay of Nessebar
    The Bay of Nessebar is a coastal inlet on Bulgaria’s Black Sea shore, known for encompassing the historic town and UNESCO World Heritage site of Nessebar.
  • 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_69e0b4a4f9b081908a5a021919c21ccb completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678734b188190bb2c5863023f9f8c completed April 20, 2026, 7:03 p.m.
Created at: April 16, 2026, 11:26 a.m.