Triple

T10521632
Position Surface form Disambiguated ID Type / Status
Subject Kur River E248186 entity
Predicate majorCityOnRiver P316 FINISHED
Object Salyan E148445 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: Salyan | Statement: [Kur River, majorCityOnRiver, Salyan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salyan
Context triple: [Kur River, majorCityOnRiver, Salyan]
  • A. Salyan chosen
    Salyan is a town in Azerbaijan known for its location in the Kura River lowlands and its role as a regional administrative and economic center.
  • B. Sairang
    Sairang is a small town in the Indian state of Mizoram, known for its scenic riverside setting and role as a transport and trading hub near the state capital Aizawl.
  • C. Parwanoo
    Parwanoo is an industrial town in the Solan district of Himachal Pradesh, India, known for its manufacturing units and proximity to the Haryana border.
  • D. Damauli
    Damauli is a town in central Nepal that serves as the administrative headquarters of Tanahun District and a key junction along major transport routes.
  • E. Khaltahi
    Khaltahi is a regional dialect of the Chhattisgarhi language spoken in parts of central India.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509dec25881909bc748640f26a416 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e119fe4819085e5c1c6e71e6260 completed April 10, 2026, 2:49 p.m.
Created at: April 6, 2026, 12:29 p.m.