Triple

T21328826
Position Surface form Disambiguated ID Type / Status
Subject Pekhorka River E525840 entity
Predicate flowsThrough P225 FINISHED
Object Balashikha 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: Balashikha | Statement: [Pekhorka River, flowsThrough, Balashikha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Balashikha
Context triple: [Pekhorka River, flowsThrough, Balashikha]
  • A. Balashikha chosen
    Balashikha is a large suburban city just east of Moscow, known as one of the most populous cities in Moscow Oblast and a significant residential and industrial center in the region.
  • B. Santiniketan
    Santiniketan is a renowned cultural and educational town in West Bengal, India, best known as the home of Visva-Bharati University founded by Rabindranath Tagore.
  • C. Alipore
    Alipore is a prominent neighborhood in Kolkata, India, known historically for its colonial-era institutions and as one of the city’s most upscale residential areas.
  • D. Kalyani
    Kalyani is a historic city in present-day Karnataka, India, renowned as the royal seat of the Western Chalukya dynasty and a major medieval center of politics and culture.
  • E. Kalyani
    Kalyani is a planned town in the Nadia district of West Bengal, India, known for its educational institutions, industries, and organized urban layout.
  • 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7ab4f95fc819087eb32dca7da689a completed April 21, 2026, 4:52 p.m.
Created at: April 16, 2026, 4:42 p.m.