Triple

T10912566
Position Surface form Disambiguated ID Type / Status
Subject Ostankinsky District E257737 entity
Predicate namedAfter P63 FINISHED
Object Ostankino area E872340 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: Ostankino area | Statement: [Ostankinsky District, namedAfter, Ostankino area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ostankino area
Context triple: [Ostankinsky District, namedAfter, Ostankino area]
  • A. Ostankino area chosen
    The Ostankino area is a district in Moscow known for housing major broadcasting facilities, including the Ostankino Television Center and the Ostankino Tower.
  • B. 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.
  • C. Luzhniki District
    Luzhniki District is a Moscow neighborhood best known for encompassing the major sports and events complex that includes Russia’s largest stadium.
  • D. Krylatskoye
    Krylatskoye is a Moscow Metro station serving the Krylatskoye District in western Moscow, Russia.
  • E. 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.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7707310b0819092d0140acc3c64ba completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3c7e869748190991e06d9df50faa9 completed April 18, 2026, 6:05 p.m.
Created at: April 8, 2026, 9:22 p.m.