Triple
T11520739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Power Macintosh G4 (AGP Graphics) |
E273153
|
entity |
| Predicate | familyCodeName |
P74573
|
FINISHED |
| Object | Sawtooth |
E929990
|
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: Sawtooth | Statement: [Power Macintosh G4 (AGP Graphics), familyCodeName, Sawtooth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sawtooth Context triple: [Power Macintosh G4 (AGP Graphics), familyCodeName, Sawtooth]
-
A.
Sawtooth
Sawtooth is the internal codename for the efficiency (little) CPU cores used in Apple’s A16 Bionic chip.
-
B.
Sawtooth
chosen
Sawtooth is the internal codename for the early AGP-equipped Power Macintosh G4 desktop computer model introduced by Apple in 1999.
-
C.
Sawtooth
Sawtooth is a minor character from the animated series "Wacky Races," known for his distinctive, exaggeratedly jagged teeth and comedic appearances.
-
D.
Sawtooth
Sawtooth is a prominent peak in Idaho’s Sawtooth Range, known for its jagged profile and popularity among climbers and hikers.
-
E.
Grizzly Ridge
Grizzly Ridge is a wildlife exhibit area themed around grizzly bears and their natural habitat.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d87fd129c88190893b95222480e04a |
completed | April 10, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6853dc47c81909d47f1047ba662e7 |
completed | April 20, 2026, 7:57 p.m. |
Created at: April 8, 2026, 9:36 p.m.