Triple
T8472828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yamaha YM2612 |
E200317
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | OPN2 |
E736645
|
NE 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: OPN2 | Statement: [Yamaha YM2612, alsoKnownAs, OPN2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OPN2 Context triple: [Yamaha YM2612, alsoKnownAs, OPN2]
-
A.
OPN2
chosen
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.
-
B.
Opon
Opon is the former name of what is now Lapu-Lapu City, a highly urbanized city located on Mactan Island in the Philippines.
-
C.
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.
-
D.
Opañel
Opañel is a Madrid Metro station serving the Carabanchel district in Spain.
-
E.
OPU
OPU is the central executive office that supports and coordinates the work of the President of Ukraine.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_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_69ce4de1fae48190a1149f639faca147 |
completed | April 2, 2026, 11:07 a.m. |
Created at: March 30, 2026, 6:11 p.m.