Triple
T3473202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moto X |
E73310
|
entity |
| Predicate | hasModel |
P2390
|
FINISHED |
| Object | Moto X4 |
E73310
|
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 X4 | Statement: [Moto X, hasModel, Moto X4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moto X4 Context triple: [Moto X, hasModel, Moto X4]
-
A.
Moto X
chosen
Moto X is a line of Android smartphones developed by Motorola Mobility, known for its near-stock software experience and emphasis on user customization and voice control features.
-
B.
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.
-
C.
Google Pixel 4
Google Pixel 4 is a flagship Android smartphone by Google known for its advanced computational photography, including powerful low-light camera capabilities, and tight integration with Google’s software and services.
-
D.
Moto G
Moto G is a popular line of budget-friendly Android smartphones known for offering strong performance and features at an affordable price.
-
E.
Pixel 4a
The Pixel 4a is a mid-range Android smartphone by Google known for its excellent camera, clean software experience, and compact, budget-friendly design.
- 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_69ad85b2fed48190948c8765e453d270 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb3e03e081908aa09291bbf351bd |
completed | March 8, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b402ca92ac819081fd3b3c49a13e0a |
completed | March 13, 2026, 12:27 p.m. |
Created at: March 8, 2026, 3:17 p.m.