Triple
T4174379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pixel 7a |
E86439
|
entity |
| Predicate | hasFeature |
P182
|
FINISHED |
| Object | Live Translate |
E13763
|
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: Live Translate | Statement: [Pixel 7a, hasFeature, Live Translate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Live Translate Context triple: [Pixel 7a, hasFeature, Live Translate]
-
A.
Yandex Translate
Yandex Translate is an online machine translation service by Yandex that supports multiple languages for text, website, and document translation.
-
B.
Google Translate
chosen
Google Translate is a multilingual neural machine translation service by Google that instantly converts text, speech, images, and web pages between numerous languages.
-
C.
Papago
Papago is an older name for the Tohono O'odham, a Native American people indigenous to the Sonoran Desert region of the southwestern United States and northern Mexico.
-
D.
VTrans
VTrans is the state government agency responsible for planning, building, and maintaining Vermont’s transportation infrastructure, including highways, bridges, public transit, rail, and aviation.
-
E.
Langues
Langues were the regional administrative divisions of the Knights Hospitaller, grouping members by their geographic and linguistic origins.
- 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_69aed93de98c8190ad838ce507b77c8a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02e7d30081909774a3e2a2132d6a |
completed | March 9, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f5428a0819082aaea8950a7c039 |
completed | March 14, 2026, 3:31 p.m. |
Created at: March 9, 2026, 3:45 p.m.