Triple

T12897806
Position Surface form Disambiguated ID Type / Status
Subject Moscow city center E308539 entity
Predicate contains P35 FINISHED
Object Arbat District 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: Arbat District | Statement: [Moscow city center, contains, Arbat District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arbat District
Context triple: [Moscow city center, contains, Arbat District]
  • 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. Tverskaya Street area
    Tverskaya Street area is a central Moscow district known for its major thoroughfare lined with shops, offices, cultural landmarks, and historic architecture.
  • C. 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.
  • D. Khamovniki District
    Khamovniki District is a historic and affluent central Moscow neighborhood known for its cultural landmarks, prestigious residential areas, and proximity to the Moscow River.
  • E. Novy Arbat
    Novy Arbat is a major modern avenue in central Moscow, known for its wide layout, Soviet-era high-rises, and prominent shops, restaurants, and entertainment venues.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9717f3fc48190b61c8f6f36cd0725 completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5ef4ba8819099335d155feb01d9 completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 5:40 p.m.