Triple

T8472798
Position Surface form Disambiguated ID Type / Status
Subject Yamaha YM2612 E200317 entity
Predicate architecture P4621 FINISHED
Object OPN2
OPN2 is a Yamaha FM synthesis sound chip architecture widely used in classic video game consoles and arcade systems for generating rich, distinctive music and sound effects.
 E736645 NE FINISHED

How this triple was built (4 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: OPN2 | Statement: [Yamaha YM2612, architecture, OPN2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OPN2
Context triple: [Yamaha YM2612, architecture, OPN2]
  • A. Opon
    Opon is the former name of what is now Lapu-Lapu City, a highly urbanized city located on Mactan Island in the Philippines.
  • B. OPAL
    OPAL was one of the major particle physics experiments at CERN’s Large Electron–Positron Collider, designed to study electron-positron collisions and probe the Standard Model.
  • C. Opañel
    Opañel is a Madrid Metro station serving the Carabanchel district in Spain.
  • D. OPU
    OPU is the central executive office that supports and coordinates the work of the President of Ukraine.
  • E. OPA
    OPA is a U.S. federal law enacted in 1990 that strengthens regulations and liability standards for preventing and responding to oil spills in navigable waters and shorelines.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: OPN2
Triple: [Yamaha YM2612, architecture, OPN2]
Generated description
OPN2 is a Yamaha FM synthesis sound chip architecture widely used in classic video game consoles and arcade systems for generating rich, distinctive music and sound effects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OPN2
Target entity description: OPN2 is a Yamaha FM synthesis sound chip architecture widely used in classic video game consoles and arcade systems for generating rich, distinctive music and sound effects.
  • A. Opon
    Opon is the former name of what is now Lapu-Lapu City, a highly urbanized city located on Mactan Island in the Philippines.
  • B. OPAL
    OPAL was one of the major particle physics experiments at CERN’s Large Electron–Positron Collider, designed to study electron-positron collisions and probe the Standard Model.
  • C. Opañel
    Opañel is a Madrid Metro station serving the Carabanchel district in Spain.
  • D. OPU
    OPU is the central executive office that supports and coordinates the work of the President of Ukraine.
  • E. OPA
    OPA is a U.S. federal law enacted in 1990 that strengthens regulations and liability standards for preventing and responding to oil spills in navigable waters and shorelines.
  • F. None of above. chosen

Provenance (5 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_69ca831a4f348190bfdd09250e86ae35 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4f4fbf481909e4fd7c078b27477 completed March 31, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce39fc9bf481908e37919b13465d18 completed April 2, 2026, 9:42 a.m.
NEDg Description generation batch_69ce3b1e188c8190ad894478141f6501 completed April 2, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_69ce3bfd00948190b3956be3f8c5d547 completed April 2, 2026, 9:50 a.m.
Created at: March 30, 2026, 6:11 p.m.