Triple
T3479375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moto Z |
E73452
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Moto |
E72299
|
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 | Statement: [Moto Z, brand, Moto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moto Context triple: [Moto Z, brand, Moto]
-
A.
Moto
chosen
Moto is a consumer electronics brand used by Motorola Mobility for its line of smartphones and related mobile devices.
-
B.
Scooter
Scooter is a bespectacled, eager-to-please Muppet who often serves as the backstage gofer and stage manager for The Muppet Show.
-
C.
Harley
Harley is the middle name of Henry "Hap" Arnold, a pioneering American air commander and General of the Air Force during World War II.
-
D.
Biqueli
Biqueli is a small coastal settlement on Atauro Island in East Timor, known for its fishing community and proximity to coral reefs.
-
E.
Lawmaster motorcycle
The Lawmaster motorcycle is Judge Dredd’s heavily armed, AI-equipped patrol bike from the Judge Dredd comics, known for its formidable weaponry, onboard computer, and iconic 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_69ad85b3c9b08190857cae74c7f36da9 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb5ca73c81908256e3339a3a6f9f |
completed | March 8, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3681b30b48190918d2821a8383229 |
completed | March 13, 2026, 1:27 a.m. |
Created at: March 8, 2026, 3:17 p.m.