Triple

T3003950
Position Surface form Disambiguated ID Type / Status
Subject Novgorod Oblast E81852 entity
Predicate hasMajorCity P316 FINISHED
Object Staraya Russa E334722 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: Staraya Russa | Statement: [Novgorod Oblast, hasMajorCity, Staraya Russa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Staraya Russa
Context triple: [Novgorod Oblast, hasMajorCity, Staraya Russa]
  • A. Staraya Russa chosen
    Staraya Russa is a historic town in northwestern Russia known for its medieval heritage and mineral spa resorts.
  • B. Shlisselburg
    Shlisselburg is a historic Russian town near Saint Petersburg, best known for its strategic fortress and former political prison on Lake Ladoga.
  • C. Kolomna
    Kolomna is a historic Russian city southeast of Moscow, known for its well-preserved kremlin, medieval architecture, and traditional pastila confectionery.
  • D. Gatchina
    Gatchina is a historic Russian town near Saint Petersburg, known for its imperial palace complex and long association with the Romanov dynasty.
  • E. Pereslavl-Zalessky
    Pereslavl-Zalessky is an ancient Russian town in the Yaroslavl Oblast, known for its medieval architecture and role as a historic center of the Vladimir-Suzdal principality.
  • 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_69ad8b1c4de88190a83b7cefaa1f2842 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a149b248190ac4f11afc4871cc1 completed March 8, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24b160dc08190950beca1a690243b completed March 12, 2026, 5:11 a.m.
Created at: March 8, 2026, 2:59 p.m.