Triple

T12066635
Position Surface form Disambiguated ID Type / Status
Subject Ulitsa Gorchakova E287312 entity
Predicate hasConnection P8776 FINISHED
Object Buninskaya Alleya E319586 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: Buninskaya Alleya | Statement: [Ulitsa Gorchakova, hasConnection, Buninskaya Alleya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buninskaya Alleya
Context triple: [Ulitsa Gorchakova, hasConnection, Buninskaya Alleya]
  • A. Buninskaya Alleya chosen
    Buninskaya Alleya is a Moscow Metro station serving as the southern endpoint of the Butovskaya Line in the Butovo district of Moscow, Russia.
  • B. Begovaya Street
    Begovaya Street is a Moscow thoroughfare located in the northwestern part of the city, known for connecting residential and commercial areas near major transport routes.
  • C. 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.
  • D. Ozyornaya Street
    Ozyornaya Street is a roadway, likely in a Russian-speaking region, that serves as the namesake and location for the entity Ozyornaya.
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d904423dc08190a47194422255c62e completed April 10, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe967a96708190b8688e84fdb270b0 completed May 9, 2026, 2:05 a.m.
Created at: April 8, 2026, 9:48 p.m.