Triple

T12336802
Position Surface form Disambiguated ID Type / Status
Subject Тверская улица E294106 entity
Predicate historicalName P65 FINISHED
Object Горького улица E968908 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: Горького улица | Statement: [Тверская улица, historicalName, Горького улица]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Горького улица
Context triple: [Тверская улица, historicalName, Горького улица]
  • A. Gorky Street chosen
    Gorky Street was the Soviet-era name of Moscow’s central Tverskaya Street, a major thoroughfare known for its political, cultural, and commercial significance.
  • B. Buninskaya Alleya
    Buninskaya Alleya is a Moscow Metro station serving as the southern endpoint of the Butovskaya Line in the Butovo district of Moscow, Russia.
  • C. Goncharnaya Street
    Goncharnaya Street is a central street in Saint Petersburg, Russia, known for its proximity to major transport hubs and historic city squares.
  • D. Sumskaya Street
    Sumskaya Street is a central thoroughfare in Kharkiv, Ukraine, known for its historic architecture, cultural landmarks, and role as one of the city’s main streets.
  • E. Rozhdestvenskaya Street
    Rozhdestvenskaya Street is a historic and architecturally significant street in Nizhny Novgorod, Russia, known for its well-preserved merchant buildings and cultural landmarks.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f6683e881908920e1fee02a14e3 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62aa5f21c8190bcb32a078a2f7ebb completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:53 p.m.