Triple

T13573482
Position Surface form Disambiguated ID Type / Status
Subject Pskovsky District E324222 entity
Predicate bordersWith P224 FINISHED
Object Ostrovsky District E330650 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: Ostrovsky District | Statement: [Pskovsky District, bordersWith, Ostrovsky District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ostrovsky District
Context triple: [Pskovsky District, bordersWith, Ostrovsky District]
  • A. Ostrovsky District chosen
    Ostrovsky District is an administrative and municipal district in western Russia, located within Pskov Oblast near the border with the Baltic states.
  • B. Kalachyovsky District
    Kalachyovsky District is an administrative district in Volgograd Oblast, Russia, known for encompassing the town of Kalach-na-Donu and its surrounding rural areas.
  • C. Lazarevsky District
    Lazarevsky District is a coastal administrative district within the city of Sochi, Russia, known for its Black Sea resorts and mountainous landscapes.
  • D. Myshkinsky District
    Myshkinsky District is an administrative and municipal district in Yaroslavl Oblast, Russia, centered around the historic town of Myshkin on the Volga River.
  • E. Obruchevsky District
    Obruchevsky District is a residential and educational neighborhood in Moscow, Russia, known for its scientific institutes and proximity to major universities.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0106cb48190b20eb9bda131a68a completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffe46175b88190ae687073ddaa3d22 completed May 10, 2026, 1:50 a.m.
Created at: April 9, 2026, 9:48 p.m.