Triple

T11985739
Position Surface form Disambiguated ID Type / Status
Subject Pechora Railway E285272 entity
Predicate notableCityAlongRoute P3945 FINISHED
Object Pechora E934246 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: Pechora | Statement: [Pechora Railway, notableCityAlongRoute, Pechora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pechora
Context triple: [Pechora Railway, notableCityAlongRoute, Pechora]
  • A. Pechora chosen
    Pechora is a town in the Komi Republic of Russia known for its location near the Pechora River and its role as a regional transport and industrial center.
  • B. Pechora River
    The Pechora River is a major waterway in northwestern Russia that flows from the Ural region to the Arctic Ocean, playing an important role in transport, ecology, and regional development.
  • C. Biysk
    Biysk is a historic industrial city in southwestern Siberia, Russia, situated on the Biya River and serving as a key gateway to the Altai Mountains.
  • D. Onega River
    The Onega River is a major river in northwestern Russia that flows through the Karelia region before emptying into the White Sea.
  • E. Darya
    Darya is a feminine given name most notably borne by Belarusian biathlete and Olympic champion Darya Domracheva.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903acbb9081908fe7f8360057785c completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63edbcd288190b491a16f2bf8fc62 completed May 2, 2026, 6:13 p.m.
Created at: April 8, 2026, 9:46 p.m.