Triple

T9717827
Position Surface form Disambiguated ID Type / Status
Subject New Arbat Avenue E235386 entity
Predicate connects P390 FINISHED
Object Arbatskaya area E224202 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: Arbatskaya area | Statement: [New Arbat Avenue, connects, Arbatskaya area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arbatskaya area
Context triple: [New Arbat Avenue, connects, Arbatskaya area]
  • A. Arbat District chosen
    Arbat District is a historic central neighborhood in Moscow, Russia, known for its famous pedestrian Arbat Street, cultural landmarks, and artistic heritage.
  • B. Spasskaya Street area
    Spasskaya Street area is a locality or district situated along or near Spasskaya Street, likely serving as a notable urban zone or neighborhood within its city.
  • C. Moskovskaya Zastava area
    Moskovskaya Zastava area is a historic urban neighborhood in Saint Petersburg known for its Soviet-era architecture, transport hubs, and role as a southern gateway into the city.
  • D. Taganka neighborhood
    Taganka neighborhood is a historic and culturally significant area in central Moscow, known for its theaters, Soviet-era architecture, and vibrant urban life.
  • E. Gorky Park area
    Gorky Park area is a central Moscow recreational district known for its expansive green spaces, cultural venues, and riverside promenades.
  • 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_69ca84d0123c819096f9dc3b6abb0881 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e3ea61081908a5671fc5be9a738 completed April 1, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1afa6d0d08190a8008b675c9aabb1 completed April 5, 2026, 12:41 a.m.
Created at: March 30, 2026, 8:20 p.m.