Triple

T8777946
Position Surface form Disambiguated ID Type / Status
Subject Toyama E208642 entity
Predicate sisterCity P1072 FINISHED
Object Rijeka, Croatia E115683 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: Rijeka, Croatia | Statement: [Toyama, sisterCity, Rijeka, Croatia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rijeka, Croatia
Context triple: [Toyama, sisterCity, Rijeka, Croatia]
  • A. Rijeka chosen
    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.
  • 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. 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.
  • D. Šibenik
    Šibenik is a historic coastal city in Croatia known for its medieval architecture and the UNESCO-listed Cathedral of St. James.
  • E. Trieste, Italy
    Trieste, Italy is a northeastern Italian port city on the Adriatic Sea known for its historic role as a cultural crossroads between Italy, Central Europe, and the Balkans and as a major center for international scientific research.
  • 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_69ca835fbee88190bf625939bac48d7f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f51b3d48190b542a0423d3938e0 completed March 31, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51d69af481909245ca327f36e9c2 completed April 3, 2026, 5:36 a.m.
Created at: March 30, 2026, 6:42 p.m.