Triple

T16699578
Position Surface form Disambiguated ID Type / Status
Subject Borisoglebsk Higher Military Aviation School E405808 entity
Predicate locatedIn P40 FINISHED
Object Borisoglebsk NE NERFINISHED

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: Borisoglebsk | Statement: [Borisoglebsk Higher Military Aviation School, locatedIn, Borisoglebsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borisoglebsk
Context triple: [Borisoglebsk Higher Military Aviation School, locatedIn, Borisoglebsk]
  • A. Borisoglebsk chosen
    Borisoglebsk is a small Russian city known for its historical architecture and location on the Vorona River in southwestern Russia.
  • B. Moghiliov-Podolsk
    Moghiliov-Podolsk is the Romanian name for Mogilev-Podilskyi, a city in western Ukraine located on the Dniester River near the border with Moldova.
  • C. Borovsk
    Borovsk is a historic town in western Russia known for its well-preserved architecture, monasteries, and role in regional trade and culture.
  • D. Belozersk
    Belozersk is a historic town in northwestern Russia known for its medieval heritage and location near Lake Beloye.
  • E. Trubchevsk
    Trubchevsk is a historic town in western Russia, known as a former medieval center and namesake of the Principality of Trubchevsk.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e383300d108190911e3cba8e07f2dd completed April 18, 2026, 1:12 p.m.
Created at: April 10, 2026, 5:19 a.m.