Triple

T4789979
Position Surface form Disambiguated ID Type / Status
Subject Ropsha E106576 entity
Predicate administrativeDivision P747 FINISHED
Object Ropshinskoye Rural Settlement E444402 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: Ropshinskoye Rural Settlement | Statement: [Ropsha, administrativeDivision, Ropshinskoye Rural Settlement]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ropshinskoye Rural Settlement
Context triple: [Ropsha, administrativeDivision, Ropshinskoye Rural Settlement]
  • A. Mikhaylovka
    Mikhaylovka is a city in southwestern Russia known as one of the key urban centers of Volgograd Oblast.
  • B. Ramenskoye
    Ramenskoye is a town in Moscow Oblast, Russia, located southeast of Moscow and known for its industrial base and proximity to major Moscow airports.
  • C. Slantsevsky District chosen
    Slantsevsky District is an administrative and municipal district in Leningrad Oblast, Russia, known for its industrial towns and proximity to the Estonian border.
  • D. Shchyokinsky Municipal District
    Shchyokinsky Municipal District is a local self-governing administrative unit in Tula Oblast, Russia, encompassing the town of Shchyokino and surrounding rural areas.
  • E. Lazarevsky District
    Lazarevsky District is a coastal administrative district within the city of Sochi, Russia, known for its Black Sea resorts and mountainous landscapes.
  • 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_69bd43f4a9588190bf73e20bc27c03cc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65dce6888190a0b1bdf416fb62b9 completed March 20, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43e8f9dc8190b4e932d179e2f097 completed March 21, 2026, 7:08 a.m.
Created at: March 20, 2026, 1:22 p.m.