Triple

T7201114
Position Surface form Disambiguated ID Type / Status
Subject M-3 highway E168745 entity
Predicate passesThroughRegion P3448 FINISHED
Object Kaluga Oblast E111628 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: Kaluga Oblast | Statement: [M-3 highway, passesThroughRegion, Kaluga Oblast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaluga Oblast
Context triple: [M-3 highway, passesThroughRegion, Kaluga Oblast]
  • A. Kaluga Oblast chosen
    Kaluga Oblast is a federal subject of western Russia known for its historical cities, space industry heritage, and location southwest of Moscow.
  • B. Kirov Oblast
    Kirov Oblast is a federal subject of Russia located in the Volga-Vyatka region, known for its extensive forests, agricultural activities, and the administrative center city of Kirov.
  • C. Ryazan Oblast
    Ryazan Oblast is a federal subject of central Russia known for its historic cities, agricultural landscapes, and location along the Oka River southeast of Moscow.
  • D. Oryol Oblast
    Oryol Oblast is a federal subject of western Russia known for its historic role as a major World War II battleground and its agricultural and industrial economy centered around the city of Oryol.
  • E. Lipetsk Oblast
    Lipetsk Oblast is a federal subject of western Russia known for its industrial centers, agricultural production, and administrative capital, the city of Lipetsk.
  • 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_69c68a5376748190bb500f03df86e93e completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6e94971508190bb38184c9af2fe51 completed March 27, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69e6035cf86081909603cec9aa5bd9d6 completed April 20, 2026, 10:43 a.m.
Created at: March 27, 2026, 2:52 p.m.