Triple

T13951156
Position Surface form Disambiguated ID Type / Status
Subject Kawasaki, Kanagawa E335525 entity
Predicate hasSisterCity P919 FINISHED
Object Rasht E213916 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: Rasht | Statement: [Kawasaki, Kanagawa, hasSisterCity, Rasht]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rasht
Context triple: [Kawasaki, Kanagawa, hasSisterCity, Rasht]
  • A. Rasht chosen
    Rasht is a major city in northern Iran near the Caspian Sea, known as the capital of Gilan Province and a cultural and economic center of the region.
  • B. Mazanderani
    Mazanderani is a Northwestern Iranian language spoken along Iran’s Caspian Sea coast, particularly in Mazandaran Province.
  • C. Babolsar
    Babolsar is a coastal city on the Caspian Sea in northern Iran, known as a regional tourist destination with beaches, a riverfront, and a popular seaside promenade.
  • D. Karaj
    Karaj is a major city in north-central Iran, located just west of Tehran and serving as an important industrial and residential hub in the Alborz province.
  • E. Birjand
    Birjand is a city in eastern Iran that serves as the capital of South Khorasan Province and is known for its historical forts and saffron production.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e131c608190b4ffdbada24a3208 completed April 14, 2026, 12:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed314bb9481908144c5399aa62ffa completed May 9, 2026, 6:24 a.m.
Created at: April 9, 2026, 10:17 p.m.