Triple

T34841322
Position Surface form Disambiguated ID Type / Status
Subject Rozhen Observatory E1004347 entity
Predicate hasLargestTelescopeDiameter P62889 FINISHED
Object 2 metres LITERAL 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: 2 metres | Statement: [Rozhen Observatory, hasLargestTelescopeDiameter, 2 metres]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLargestTelescopeDiameter
Context triple: [Rozhen Observatory, hasLargestTelescopeDiameter, 2 metres]
  • A. largestTelescopeAperture chosen
    Indicates that one entity has the largest telescope aperture (e.g., diameter or area of the primary light-collecting element) among a specified set or context.
  • B. isLargestAstronomicalObservatoryIn
    Indicates that one astronomical observatory is the largest (by a specified measure, such as size, capacity, or instrumentation) within a given geographic or organizational region.
  • C. radioTelescopeDiameter
    Indicates the size of a radio telescope as measured by the diameter of its main collecting dish or antenna.
  • D. wasAmongLargestTelescopesIn
    Indicates that a telescope ranked among the largest in existence during a specified time or within a particular context.
  • E. primaryMirrorDiameter
    Indicates the diameter of the primary mirror used in an optical system or instrument.
  • 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_69f76db97714819099b5bed36fd64e9d completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69ff5803c02c81908b63067119f5e684 completed May 9, 2026, 3:51 p.m.
PD Predicate disambiguation batch_69ff576d8b308190b49a1e072a0ae661 completed May 9, 2026, 3:49 p.m.
Created at: May 3, 2026, 4 p.m.