Triple

T1214989
Position Surface form Disambiguated ID Type / Status
Subject Ravenna E26087 entity
Predicate twinnedWith P1072 FINISHED
Object Dubrovnik E150992 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: Dubrovnik | Statement: [Ravenna, twinnedWith, Dubrovnik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dubrovnik
Context triple: [Ravenna, twinnedWith, Dubrovnik]
  • A. Ragusa (Dubrovnik) chosen
    Ragusa (Dubrovnik) is the historic maritime city-state on the Adriatic coast, now known as Dubrovnik in Croatia, famed for its well-preserved medieval architecture and role as a major trading hub.
  • B. Zadar
    Zadar is a historic coastal city in Croatia on the Adriatic Sea, known for its Roman and Venetian ruins, medieval churches, and modern seaside installations like the Sea Organ.
  • C. Herceg Novi
    Herceg Novi is a coastal town in western Montenegro known for its historic old town, fortresses, and scenic location at the entrance to the Bay of Kotor.
  • D. Korčula
    Korčula is a historic Adriatic island known for its medieval walled town, dense forests, and rich Croatian cultural heritage.
  • E. 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.
  • 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_69a4948331fc8190b531ac9bec71c491 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be0370b4819093618930f4eecfcc completed March 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad36f6d9288190ad64dc1bc9e9f8c1 completed March 8, 2026, 8:44 a.m.
Created at: March 1, 2026, 7:46 p.m.