Triple

T6329491
Position Surface form Disambiguated ID Type / Status
Subject Zadar Channel E141942 entity
Predicate separates P1175 FINISHED
Object city of Zadar E25849 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: city of Zadar | Statement: [Zadar Channel, separates, city of Zadar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Zadar
Context triple: [Zadar Channel, separates, city of Zadar]
  • A. Zadar chosen
    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.
  • B. Opatija
    Opatija is a historic seaside resort town on Croatia’s Adriatic coast, known for its elegant Austro-Hungarian architecture, mild climate, and long tradition of tourism.
  • C. Stari Grad
    Stari Grad is the historic central municipality of Belgrade, known for its old town architecture, cultural landmarks, and key administrative and commercial areas.
  • D. Stari Grad
    Stari Grad is one of the oldest towns in Croatia, a historic harbor settlement on the island of Hvar known for its ancient Greek-era layout and UNESCO-listed surrounding plain.
  • E. Šibenik
    Šibenik is a historic coastal city in Croatia known for its medieval architecture and the UNESCO-listed Cathedral of St. James.
  • 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_69c008d201748190917e69c41ba3f978 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0651334c08190a9514faa36e7812d completed March 22, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7421871888190aab99c6c5f6c147d completed March 28, 2026, 2:51 a.m.
Created at: March 22, 2026, 4:30 p.m.