Triple

T22719165
Position Surface form Disambiguated ID Type / Status
Subject Large Binocular Telescope E561813 entity
Predicate collectingAreaEquivalent P149447 FINISHED
Object single 11.8-meter telescope 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: single 11.8-meter telescope | Statement: [Large Binocular Telescope, collectingAreaEquivalent, single 11.8-meter telescope]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: collectingAreaEquivalent
Context triple: [Large Binocular Telescope, collectingAreaEquivalent, single 11.8-meter telescope]
  • A. collectingArea
    Indicates the total surface area over which something (typically a device or system) gathers or receives a substance, signal, or resource.
  • B. hasCollectionArea
    Indicates that an entity is associated with a specific geographic or spatial area from which items, specimens, or data are collected.
  • C. coveredArea
    Indicates that one entity occupies or extends over a specific spatial region or surface area associated with another entity.
  • D. standardArea
    Indicates that an entity has a designated or officially defined area or size that serves as a standard reference.
  • E. coreAreaOf
    Indicates that one entity is the central, primary, or most important area or domain of focus for another entity.
  • 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_69e2454fc984819088213b58ee87a002 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1790fbf9c819082ba7b48801a7b39 completed April 29, 2026, 3:20 a.m.
PD Predicate disambiguation batch_69eed2a971c0819088af574e40c9343f completed April 27, 2026, 3:06 a.m.
PDg Predicate description generation batch_69eeeb5681f88190821129ced752f190 completed April 27, 2026, 4:51 a.m.
Created at: April 17, 2026, 3:19 p.m.