Triple

T10746326
Position Surface form Disambiguated ID Type / Status
Subject Vystavochny Tsentr E253457 entity
Predicate serves P98 FINISHED
Object VDNKh E773225 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: VDNKh | Statement: [Vystavochny Tsentr, serves, VDNKh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VDNKh
Context triple: [Vystavochny Tsentr, serves, VDNKh]
  • A. VDNKh chosen
    VDNKh is a vast exhibition and amusement complex in Moscow known for its grand Soviet-era pavilions, monuments, and cultural attractions.
  • B. VRN
    VRN is the public transport association serving Germany’s Rhine-Neckar metropolitan region, coordinating regional and local transit services across multiple states.
  • C. Vdm
    Vdm is the official station code for Van der Madeweg, a metro station in Amsterdam, Netherlands.
  • D. VDY
    VDY is the IATA airport code for Jindal Vijaynagar Airport in Karnataka, India.
  • E. VDV
    VDV is the elite airborne branch of Russia’s armed forces, known for rapid-deployment paratrooper and air-assault operations.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d711b85d9c8190a66f536e2f22ed04 completed April 9, 2026, 2:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69de230b461c81909a98085079676b95 completed April 14, 2026, 11:20 a.m.
Created at: April 8, 2026, 9:15 p.m.