Triple

T15232871
Position Surface form Disambiguated ID Type / Status
Subject Pskov Republic E364047 entity
Predicate hasPart P35 FINISHED
Object city of Pskov E471802 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: city of Pskov | Statement: [Pskov Republic, hasPart, city of Pskov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Pskov
Context triple: [Pskov Republic, hasPart, city of Pskov]
  • A. City of Pskov
    The City of Pskov is a historic Russian city near the Estonian border, renowned for its medieval kremlin, ancient churches, and role as a major fortress and trading center in northwestern Russia.
  • B. city of Tver
    The city of Tver is a historic urban center in western Russia, situated at the confluence of the Volga and Tvertsa rivers and known for its role as a regional cultural and economic hub.
  • C. Pskov chosen
    Pskov is an ancient Russian city near the Estonian border, known for its medieval kremlin, historic churches, and role as a key fortress in northwestern Russia.
  • D. Suzdal
    Suzdal is one of Russia’s oldest and best-preserved historic towns, renowned for its medieval churches, monasteries, and traditional wooden architecture.
  • E. city of Vladimir
    The city of Vladimir is a historic urban center in western Russia, renowned for its medieval white-stone cathedrals and status as one of the key cities of the Golden Ring.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007d7237081908dc17900ee66b64f completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5efb0108190b3b45e9917721354 completed May 9, 2026, 7:44 a.m.
Created at: April 10, 2026, 3:12 a.m.