Triple

T2530285
Position Surface form Disambiguated ID Type / Status
Subject Oka River E56140 entity
Predicate hasCityOnBank P7935 FINISHED
Object Murom E354656 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: Murom | Statement: [Oka River, hasCityOnBank, Murom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murom
Context triple: [Oka River, hasCityOnBank, Murom]
  • A. Murom chosen
    Murom is an ancient Russian city in Vladimir Oblast, known as one of the oldest settlements in Russia and a historic center of Eastern Orthodox culture.
  • B. Ryazan
    Ryazan is a historic city in western Russia known for its medieval kremlin, role as a regional cultural and economic center, and legacy as one of the country’s oldest urban settlements.
  • C. Penza
    Penza is a city in western Russia known as a regional cultural and industrial center.
  • D. Pereiaslavl
    Pereiaslavl was one of the principal urban centers of Kyivan Rus, serving as an important political, military, and cultural hub in medieval Eastern Europe.
  • E. Voronezh
    Voronezh is a major city in southwestern Russia, situated on the Voronezh River and serving as an important cultural, industrial, and transportation 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_69ab4a48e4f081908f1218d244608659 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd276930c8190bd46b52e06b7098e completed March 7, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69b3737db06481908b854eff532fce18 completed March 13, 2026, 2:16 a.m.
Created at: March 6, 2026, 9:46 p.m.