Triple

T12897804
Position Surface form Disambiguated ID Type / Status
Subject Moscow city center E308539 entity
Predicate contains P35 FINISHED
Object Zamoskvorechye area E210558 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: Zamoskvorechye area | Statement: [Moscow city center, contains, Zamoskvorechye area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zamoskvorechye area
Context triple: [Moscow city center, contains, Zamoskvorechye area]
  • A. Ostankino area
    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. Krylatskoye
    Krylatskoye is a Moscow Metro station serving the Krylatskoye District in western Moscow, Russia.
  • D. Zamoskvorechye District chosen
    Zamoskvorechye District is a historic central district of Moscow situated just south of the Moskva River, known for its preserved merchant architecture, cultural landmarks, and major transport hubs.
  • 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_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_69f6a55f98c08190b8910b1443841fa7 completed May 3, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:40 p.m.