Triple

T11412769
Position Surface form Disambiguated ID Type / Status
Subject Engels E270412 entity
Predicate hasPreviousName P65 FINISHED
Object Pokrovsk E774323 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: Pokrovsk | Statement: [Engels, hasPreviousName, Pokrovsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pokrovsk
Context triple: [Engels, hasPreviousName, Pokrovsk]
  • A. Pokrovsk chosen
    Pokrovsk is the former name of the Russian city now known as Engels, located in Saratov Oblast on the Volga River.
  • B. Pokrovsk
    Pokrovsk is a city in eastern Ukraine that serves as an important industrial and transport hub within Donetsk Oblast.
  • C. Rzhev
    Rzhev is a historic town in western Russia known for its strategic location on the Volga River and as the site of major World War II battles.
  • D. Pokrovskoye
    Pokrovskoye is a rural Siberian village in Russia best known as the birthplace and early home of the mystic Grigori Rasputin.
  • E. Vyazma
    Vyazma is a historic town in Smolensk Oblast, western Russia, known for its strategic military significance, particularly during World War II.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801acd9bc81908a23b1b7b4e778d3 completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b855f0508190a2e57ef9407ddb1a completed April 20, 2026, 5:23 a.m.
Created at: April 8, 2026, 9:34 p.m.