Triple

T34795671
Position Surface form Disambiguated ID Type / Status
Subject LCOGT telescopes E1003072 entity
Predicate isGlobalNetwork P171231 FINISHED
Object true 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: true | Statement: [LCOGT telescopes, isGlobalNetwork, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isGlobalNetwork
Context triple: [LCOGT telescopes, isGlobalNetwork, true]
  • A. hasGlobalNetworkType
    Indicates that an entity is associated with a specific type or category of global network.
  • B. isNetworkOf chosen
    Indicates that one entity functions as a network that connects, supports, or encompasses another entity or set of entities.
  • C. hasGlobalDistribution
    Indicates that the related entity occurs, operates, or is present across most or all regions of the world rather than being confined to a specific locality or region.
  • D. canBeGlobal
    Indicates that something has the potential or permission to apply, operate, or be recognized at a global scope rather than a local or limited one.
  • E. hasGlobalRegion
    Indicates that an entity is associated with or belongs to a specific global geographic region.
  • 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_69f76db543808190b188c6c86a91491b completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f77a84e7a481908e7654a6ea31968e completed May 3, 2026, 4:40 p.m.
PD Predicate disambiguation batch_69f7795b1abc8190823664d1caa94649 completed May 3, 2026, 4:35 p.m.
Created at: May 3, 2026, 3:59 p.m.