Triple

T26847710
Position Surface form Disambiguated ID Type / Status
Subject Brillouin scattering E675969 entity
Predicate canBeExploitedFor P175308 FINISHED
Object Brillouin lasers
Brillouin lasers are highly coherent optical lasers that use stimulated Brillouin scattering in a medium to generate narrow-linewidth light, often for precision sensing and microwave photonics applications.
 E675969 NE FINISHED

How this triple was built (3 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: Brillouin lasers | Statement: [Brillouin scattering, canBeExploitedFor, Brillouin lasers]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Brillouin lasers
Triple: [Brillouin scattering, canBeExploitedFor, Brillouin lasers]
Generated description
Brillouin lasers are highly coherent optical lasers that use stimulated Brillouin scattering in a medium to generate narrow-linewidth light, often for precision sensing and microwave photonics applications.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: canBeExploitedFor
Context triple: [Brillouin scattering, canBeExploitedFor, Brillouin lasers]
  • A. isExploitedFor
    Indicates that one entity is unfairly or abusively used by another entity as a resource, means, or advantage for the latter’s benefit.
  • B. canBeExploitedRemotely
    Indicates that the vulnerability or weakness can be triggered and abused from a distance over a network, without requiring physical access to the target system.
  • C. exploitationPossible
    Indicates that one entity is in a position to unfairly use or benefit from another entity or resource, suggesting that exploitation can occur.
  • D. earlyExploitationBy
    Indicates that one entity takes unfair advantage of another at an early stage of their interaction, development, or process.
  • E. exploitationStatus
    Indicates whether and how one entity is being unfairly used, abused, or taken advantage of by another.
  • F. None of above. chosen

Provenance (7 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_69eee9b8d5e88190a07d3455c0fbb21f completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f6d1d916f881909575c2b22c416a5b completed May 3, 2026, 4:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a12134d92fc819093c3d5f70ad58c02 completed May 23, 2026, 8:51 p.m.
NEDg Description generation batch_6a12174653308190a7a80b89f4597108 completed May 23, 2026, 9:08 p.m.
NED2 Entity disambiguation (via description) batch_6a1218089b448190bcdd5f2fd5bf0a94 completed May 23, 2026, 9:11 p.m.
PD Predicate disambiguation batch_69f6cfe2183481908ae4e85a59c66f69 completed May 3, 2026, 4:32 a.m.
PDg Predicate description generation batch_69f6d0d331dc8190be5aa6bfc6365e67 completed May 3, 2026, 4:36 a.m.
Created at: April 27, 2026, 5:13 a.m.