Triple

T12086670
Position Surface form Disambiguated ID Type / Status
Subject Rzhevsky Uyezd E287822 entity
Predicate namedAfter P63 FINISHED
Object Rzhev E280196 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: Rzhev | Statement: [Rzhevsky Uyezd, namedAfter, Rzhev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rzhev
Context triple: [Rzhevsky Uyezd, namedAfter, Rzhev]
  • A. Rzhev chosen
    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.
  • B. Pokrovsk
    Pokrovsk is the former name of the Russian city now known as Engels, located in Saratov Oblast on the Volga River.
  • C. Pokrovsk
    Pokrovsk is a city in eastern Ukraine that serves as an important industrial and transport hub within Donetsk Oblast.
  • D. Vyazma
    Vyazma is a historic town in Smolensk Oblast, western Russia, known for its strategic military significance, particularly during World War II.
  • E. Kozelsk
    Kozelsk is a historic town in western Russia known for its medieval defenses and location within Kaluga Oblast.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91514c78c8190bc1cd569e524e8b4 completed April 10, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e42cd588190835b3e8160bdbba5 completed May 2, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:48 p.m.