Triple
T13525648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GR |
E323010
|
entity |
| Predicate | productLine |
P3585
|
FINISHED |
| Object | GR Yaris |
E323013
|
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: GR Yaris | Statement: [GR, productLine, GR Yaris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GR Yaris Context triple: [GR, productLine, GR Yaris]
-
A.
GR Yaris
chosen
The GR Yaris is a high-performance, rally-inspired hot hatch developed by Toyota’s Gazoo Racing division, known for its turbocharged powertrain, all-wheel drive system, and motorsport-focused engineering.
-
B.
Toyota Yaris
The Toyota Yaris is a popular subcompact car known for its reliability, fuel efficiency, and strong reputation in global small-car markets.
-
C.
Geo Prizm
The Geo Prizm was a compact car sold by General Motors in the United States, based on the Toyota Corolla and produced through the NUMMI joint venture between GM and Toyota.
-
D.
Suzuki Swift
The Suzuki Swift is a popular subcompact hatchback car known for its nimble handling, fuel efficiency, and value-oriented pricing in global markets.
-
E.
Baleno
Baleno is a coastal municipality in the province of Masbate in the Philippines, known for its rural communities and fishing-based local economy.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa6ad60819087824e4ac83934ed |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7549dda6481908e9305690488b1af |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:44 p.m.