Triple

T2032966
Position Surface form Disambiguated ID Type / Status
Subject Photophone E44558 entity
Predicate receiverMaterial P618 FINISHED
Object selenium 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: selenium | Statement: [Photophone, receiverMaterial, selenium]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: receiverMaterial
Context triple: [Photophone, receiverMaterial, selenium]
  • A. materialUsed
    Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
  • B. receives
    Indicates that one entity is the recipient of something (such as an object, message, or action) from another entity.
  • C. material chosen
    Indicates that one entity is physically composed of, made from, or constructed using the substance or material represented by the other entity.
  • D. sourceMaterialType
    Indicates the type or category of material from which something originates or is derived.
  • E. materialProvidedFor
    Indicates that one entity supplies or makes available a material for use, processing, or incorporation by another entity or purpose.
  • 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.