Triple

T3577305
Position Surface form Disambiguated ID Type / Status
Subject Ulyanovsk E75718 entity
Predicate formerName P65 FINISHED
Object Simbirsk E522034 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: Simbirsk | Statement: [Ulyanovsk, formerName, Simbirsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simbirsk
Context triple: [Ulyanovsk, formerName, Simbirsk]
  • A. Simbirsk chosen
    Simbirsk is a historic Russian city on the Volga River, best known today as Ulyanovsk, the birthplace of Vladimir Lenin and other notable political figures.
  • B. Nizhny Novgorod
    Nizhny Novgorod is a major Russian city located at the confluence of the Volga and Oka rivers, known for its historic Kremlin, industrial significance, and role as a key cultural and economic center in the Volga region.
  • C. Penza
    Penza is a city in western Russia known as a regional cultural and industrial center.
  • D. Tolyatti
    Tolyatti is a major industrial city in Russia on the Volga River, best known as the home of the AvtoVAZ automobile plant that produces Lada cars.
  • E. Saratov
    Saratov is a major city in southwestern Russia known as an important cultural, educational, and industrial center on the banks of the Volga River.
  • 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_69ad85d5e3008190bdfe0bacdd1f5a1b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0dd3e048190a0c6666e13ead9cd completed March 8, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf779f7d54819083e1cb88e34c6d34 completed March 22, 2026, 5:01 a.m.
Created at: March 8, 2026, 3:21 p.m.