Triple

T34549099
Position Surface form Disambiguated ID Type / Status
Subject Западный административный округ города Москвы E887011 entity
Predicate имеетКрупныйОбъект P55536 FINISHED
Object МГУ имени М. В. Ломоносова (главный кампус в Раменках) NE NERFINISHED

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: МГУ имени М. В. Ломоносова (главный кампус в Раменках) | Statement: [Западный административный округ города Москвы, имеетКрупныйОбъект, МГУ имени М. В. Ломоносова (главный кампус в Раменках)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: имеетКрупныйОбъект
Context triple: [Западный административный округ города Москвы, имеетКрупныйОбъект, МГУ имени М. В. Ломоносова (главный кампус в Раменках)]
  • A. hasLargeSpecies
    Indicates that an entity possesses or includes at least one species that is considered large in size.
  • B. containsObjectsBeyond
    Indicates that a container or space holds additional objects beyond a specified set, limit, or boundary.
  • C. hasMonumentalPresence
    Indicates that an entity possesses a grand, imposing, or highly impactful presence in its context or environment.
  • D. notableSceneProp
    Indicates that an object or element serves as a significant or prominently featured prop within a particular scene.
  • E. massiveStructure chosen
    Indicates that an entity is a very large or imposing physical structure in terms of size, scale, or mass.
  • F. None of above.

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_69f349cff89081908f91e0b064f4833e completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f728a345488190bd7e6751b09ac591 completed May 3, 2026, 10:51 a.m.
PD Predicate disambiguation batch_69f7283ef2608190a7a85d7e7f5332c0 completed May 3, 2026, 10:49 a.m.
Created at: May 1, 2026, 2:02 a.m.