Triple
T21627408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AY-3-8912 |
E533738
|
entity |
| Predicate | hasAlternateName |
P39
|
FINISHED |
| Object | GI AY-3-8912 |
—
|
NE NERFINISHED |
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: GI AY-3-8912 | Statement: [AY-3-8912, hasAlternateName, GI AY-3-8912]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GI AY-3-8912 Context triple: [AY-3-8912, hasAlternateName, GI AY-3-8912]
-
A.
AY-3-8912
chosen
AY-3-8912 is a programmable sound generator chip widely used in 1980s home computers and arcade systems to produce multi-voice music and sound effects.
-
B.
A83
A83 is a French autoroute in western France that connects the Nantes region to the A10 and forms part of a major north–south motorway corridor.
-
C.
A89
The A89 is a major road in Scotland that connects Edinburgh and Glasgow, passing through various towns and serving as an important regional transport route.
-
D.
A89
A89 is a major French autoroute that runs across central France, linking Bordeaux to Lyon and connecting with several key motorways.
-
E.
A93
A93 is a German federal motorway (Autobahn) in Bavaria that provides a key north–south connection and links cities such as Hof (Saale) with the wider Autobahn network.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef52141e1c8190a861f4bc7cfcb490 |
completed | April 27, 2026, 12:09 p.m. |
Created at: April 16, 2026, 6:34 p.m.