Triple

T17921998
Position Surface form Disambiguated ID Type / Status
Subject Manjil E448094 entity
Predicate hasNearbyCity P350 FINISHED
Object Rasht NE NERFINISHED

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: [Manjil, hasNearbyCity, Rasht]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rasht
Context triple: [Manjil, hasNearbyCity, 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 (2 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a30ad8748190b28d3e8b5afab2ef completed April 19, 2026, 9:40 a.m.
Created at: April 10, 2026, 10:20 a.m.