Triple

T13166124
Position Surface form Disambiguated ID Type / Status
Subject Novosibirsk State University E312854 entity
Predicate locatedIn P40 FINISHED
Object Novosibirsk E74615 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: Novosibirsk | Statement: [Novosibirsk State University, locatedIn, Novosibirsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Novosibirsk
Context triple: [Novosibirsk State University, locatedIn, Novosibirsk]
  • A. Novosibirsk chosen
    Novosibirsk is a major city in southwestern Siberia and the third-largest city in Russia, known as an important industrial, scientific, and cultural center.
  • B. Sibir Novosibirsk
    Sibir Novosibirsk is a professional ice hockey club from Novosibirsk, Russia, that competes in the Kontinental Hockey League (KHL).
  • C. Omsk
    Omsk is one of the largest cities in southwestern Siberia, Russia, serving as a major industrial, cultural, and transportation hub on the Irtysh River.
  • D. Tomsk
    Tomsk is a historic university and research city in southwestern Siberia, known as one of the region’s oldest and most important cultural and educational centers.
  • E. Krasnoyarsk
    Krasnoyarsk is a large industrial and cultural city in central Russia, situated on the Yenisei River and known as one of the key urban centers of Siberia.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c2c317881908cc715c97d915f77 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7cb4d348190962ba5fa21fbb77b completed May 7, 2026, 8:36 p.m.
Created at: April 9, 2026, 9:13 p.m.