Triple
T4006419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyota Prius |
E89535
|
entity |
| Predicate | primaryMarketPositioning |
P5254
|
FINISHED |
| Object | fuel-efficient family car |
—
|
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: fuel-efficient family car | Statement: [Toyota Prius, primaryMarketPositioning, fuel-efficient family car]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryMarketPositioning Context triple: [Toyota Prius, primaryMarketPositioning, fuel-efficient family car]
-
A.
brandPositioning
chosen
Indicates how a brand is strategically placed and perceived in the minds of its target audience relative to competitors.
-
B.
labelMarketingPositioning
Indicates that an entity defines or assigns the marketing positioning (how something is presented or positioned in the market) for another entity.
-
C.
marketPosition
Indicates the relative standing or rank an entity holds within a specific market compared to its competitors.
-
D.
coreMarket
Indicates that an entity serves as the primary or most important market for another entity’s products, services, or activities.
-
E.
primaryPosition
Indicates the main role, job, or position an entity holds among potentially multiple positions.
- F. None of above.
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_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. |
Created at: March 9, 2026, 3:34 p.m.