Triple
T4006387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyota Prius |
E89535
|
entity |
| Predicate | USMarketIntroduction |
P53460
|
FINISHED |
| Object | 2000 |
—
|
LITERAL 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: 2000 | Statement: [Toyota Prius, USMarketIntroduction, 2000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: USMarketIntroduction Context triple: [Toyota Prius, USMarketIntroduction, 2000]
-
A.
marketShareUS
Indicates the proportion of a product, company, or brand’s total sales or volume within the United States market relative to the overall U.S. market size.
-
B.
coreMarket
Indicates that an entity serves as the primary or most important market for another entity’s products, services, or activities.
-
C.
marketsIn
Indicates that one entity promotes, sells, or offers another entity’s products or services within a particular market or geographic area.
-
D.
marketStatus
Indicates the current trading or availability condition of an asset, product, or market (e.g., open, closed, active, suspended).
-
E.
sharesMarket
Indicates that two entities operate within or target the same market or customer segment.
- F. None of above. chosen
Provenance (4 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_69aed9585e788190bec2d39deba3750f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa8579288190940487ad07e38de0 |
completed | March 9, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69aef8f89f2881909b0965419d15d46c |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aefa815f2c8190818c9ffd9d1bf478 |
completed | March 9, 2026, 4:51 p.m. |
Created at: March 9, 2026, 3:34 p.m.