Triple

T4701821
Position Surface form Disambiguated ID Type / Status
Subject James Clerk Maxwell Telescope E104290 entity
Predicate diameterRank P58619 FINISHED
Object one of the largest single-dish submillimetre telescopes in the world 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: one of the largest single-dish submillimetre telescopes in the world | Statement: [James Clerk Maxwell Telescope, diameterRank, one of the largest single-dish submillimetre telescopes in the world]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: diameterRank
Context triple: [James Clerk Maxwell Telescope, diameterRank, one of the largest single-dish submillimetre telescopes in the world]
  • A. depthRank
    Indicates the relative ordering of entities based on how deep or distant they are along a specified depth dimension or hierarchy.
  • B. approximateDiameter
    Indicates that one entity specifies the estimated or rough measurement of another entity’s diameter.
  • C. sphereDiameter
    Indicates the measurement of the distance across a sphere passing through its center, relating the sphere to its diameter.
  • D. capacityRank
    Indicates the relative ordering of entities based on how much capacity (e.g., volume, throughput, or capability) they possess compared to others.
  • E. meanDiameter_km
    Indicates the average diameter of an object or region measured in kilometers.
  • F. None of above. chosen

Provenance (4 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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd650ad0f88190844bfcb46b3071c2 completed March 20, 2026, 3:17 p.m.
PD Predicate disambiguation batch_69bd621ba7448190a53ab1e2897acf71 completed March 20, 2026, 3:04 p.m.
PDg Predicate description generation batch_69bd6508e218819086a36236cfa4a249 completed March 20, 2026, 3:17 p.m.
Created at: March 20, 2026, 1:17 p.m.