Triple
T18463808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giorgio platform |
E451105
|
entity |
| Predicate | marketSegmentTarget |
P481
|
FINISHED |
| Object | premium vehicles |
—
|
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: premium vehicles | Statement: [Giorgio platform, marketSegmentTarget, premium vehicles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketSegmentTarget Context triple: [Giorgio platform, marketSegmentTarget, premium vehicles]
-
A.
targetMarket
chosen
Indicates the group of consumers or organizations that a product, service, or campaign is specifically intended and designed to reach.
-
B.
marketSegmentPreviewed
Indicates that a specific market segment has been reviewed or examined in advance, typically as part of planning, analysis, or evaluation activities.
-
C.
marketSegmentCoverage
Indicates the extent to which a product, service, or campaign reaches or serves the intended market segment(s).
-
D.
offersMarketSegment
Indicates that a provider makes a specific market segment available as a target or recipient for its products, services, or offerings.
-
E.
marketReach
Indicates the extent or breadth of audience, customers, or geographic areas that a product, service, or message successfully reaches in the market.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a8190508190a74b1d3482364905 |
completed | April 19, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69e469d05cf4819099baf1665a9cf18a |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:33 a.m.