Triple
T3429381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moto G |
E72300
|
entity |
| Predicate | hasModel |
P2390
|
FINISHED |
| Object | Moto G5S |
E72300
|
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: Moto G5S | Statement: [Moto G, hasModel, Moto G5S]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moto G5S Context triple: [Moto G, hasModel, Moto G5S]
-
A.
Moto G
chosen
Moto G is a popular line of budget-friendly Android smartphones known for offering strong performance and features at an affordable price.
-
B.
Moto E
Moto E is a line of budget-friendly Android smartphones produced by Motorola Mobility, known for offering essential features at low cost.
-
C.
Moto Z
Moto Z is a line of modular Android smartphones by Motorola known for its ultra-thin design and support for snap-on Moto Mods accessories.
-
D.
Moto One
Moto One is a line of Motorola smartphones known for offering a near-stock Android experience with timely software updates.
-
E.
Pixel 5a
The Pixel 5a is a mid-range Android smartphone by Google known for its clean software experience, strong camera performance, and long battery life.
- 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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9854ca081909e637adcac46a27c |
completed | March 8, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b432f3af6c8190ba09e3ab8fbad7da |
completed | March 13, 2026, 3:53 p.m. |
Created at: March 8, 2026, 3:15 p.m.