Triple

T4818575
Position Surface form Disambiguated ID Type / Status
Subject Alexander Ulyanov E107651 entity
Predicate placeOfBirth P1 FINISHED
Object Nizhny Novgorod E34987 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: Nizhny Novgorod | Statement: [Alexander Ulyanov, placeOfBirth, Nizhny Novgorod]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nizhny Novgorod
Context triple: [Alexander Ulyanov, placeOfBirth, Nizhny Novgorod]
  • A. Nizhny Novgorod chosen
    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.
  • B. Simbirsk
    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.
  • C. Voronezh
    Voronezh is a major city in southwestern Russia, situated on the Voronezh River and serving as an important cultural, industrial, and transportation center.
  • D. Izhevsk
    Izhevsk is a major industrial city in western Russia, best known as a center of arms manufacturing and the capital of the Udmurt Republic.
  • E. Penza
    Penza is a city in western Russia known as a regional cultural and industrial center.
  • 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_69bd43f9efa081908314cb3e94fa1695 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c96f4dc81909e3186159b5c75ab completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfe1423aa481909fd062c54779a3a2 completed March 22, 2026, 12:32 p.m.
Created at: March 20, 2026, 1:24 p.m.