Triple

T2804887
Position Surface form Disambiguated ID Type / Status
Subject Gulf of Trieste E54027 entity
Predicate hasPort P35 FINISHED
Object Port of Koper E81884 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: Port of Koper | Statement: [Gulf of Trieste, hasPort, Port of Koper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Koper
Context triple: [Gulf of Trieste, hasPort, Port of Koper]
  • A. Koper chosen
    Koper is a coastal city in southwestern Slovenia on the Adriatic Sea, known as the country’s only commercial port and a historic center with Venetian and medieval heritage.
  • B. Port of Karlovasi
    The Port of Karlovasi is a key ferry and commercial harbor on the northwest coast of Samos, Greece, serving as an important maritime gateway for passengers and goods in the northern Aegean.
  • C. Rijeka
    Rijeka is a significant Croatian port city on the Adriatic Sea, known for its maritime industry, cultural heritage, and role as a key transport hub.
  • D. Port of Ustka
    The Port of Ustka is a small seaport on Poland’s Baltic Sea coast, serving primarily fishing, local maritime traffic, and tourism.
  • E. Rovinj
    Rovinj is a picturesque coastal town on Croatia’s Istrian peninsula, known for its colorful old town, fishing harbor, and popular seaside tourism.
  • 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde1525888190b3c04e10043c67d6 completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce94a8f48190ac8b447f66b7d545 completed March 10, 2026, 7:56 a.m.
Created at: March 6, 2026, 9:59 p.m.