Triple

T2967180
Position Surface form Disambiguated ID Type / Status
Subject Istria E80193 entity
Predicate majorCity P316 FINISHED
Object 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: Koper | Statement: [Istria, majorCity, Koper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koper
Context triple: [Istria, majorCity, 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. Siscia
    Siscia was an important ancient Roman city and military center in the province of Pannonia, located at the site of modern-day Sisak in Croatia.
  • C. Gorizia
    Gorizia is a historic town in northeastern Italy, near the Slovenian border, known for its mixed Italian-Slovenian cultural heritage and its strategic position that once placed it at the frontier between Western and Eastern Europe.
  • D. 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.
  • E. Ragusa
    Ragusa is a historic baroque hilltop city in southeastern Sicily, Italy, renowned for its UNESCO-listed old town and distinctive architecture.
  • 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_69ad8b14ffe881908ffed62f9595c867 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad996e93788190ba9883714d4dfa0c completed March 8, 2026, 3:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc9fcfa48190a5e23ec1f3f01038 completed March 11, 2026, 5:24 a.m.
Created at: March 8, 2026, 2:58 p.m.