Triple

T2032948
Position Surface form Disambiguated ID Type / Status
Subject Photophone E44558 entity
Predicate operatingRange P25150 FINISHED
Object several hundred meters 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: several hundred meters | Statement: [Photophone, operatingRange, several hundred meters]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: operatingRange
Context triple: [Photophone, operatingRange, several hundred meters]
  • A. operationalRange chosen
    Indicates the span of conditions (such as distance, time, or environment) within which a system, device, or process can function effectively and safely.
  • B. operatesBetween
    Indicates a relationship where an action, process, or influence functions or takes effect in the space, interval, or context separating two entities.
  • C. operatesWithin
    Indicates that one entity carries out its activities, functions, or operations inside the scope, boundaries, or jurisdiction defined by another entity.
  • D. operatingTemperature
    Indicates the range or specific value of temperature within which an entity is designed or allowed to function properly.
  • E. operationalScope
    Indicates the range, extent, or boundaries within which an entity, process, or activity is authorized or designed to operate.
  • 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_69a889144f2481909932f0746a93023d completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb93255248190bd47a54a7b3c7447 completed March 7, 2026, 5:35 a.m.
PD Predicate disambiguation batch_69abb7a8125881909c0cb58b777c1faa completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:39 p.m.