Triple
T3428701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autavia |
E72285
|
entity |
| Predicate | positionInBrandPortfolio |
P48676
|
FINISHED |
| Object | heritage-inspired line |
—
|
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: heritage-inspired line | Statement: [Autavia, positionInBrandPortfolio, heritage-inspired line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInBrandPortfolio Context triple: [Autavia, positionInBrandPortfolio, heritage-inspired line]
-
A.
positionInPortfolio
Indicates the specific role, allocation, or placement that an asset or holding occupies within a particular investment portfolio.
-
B.
belongsToPortfolio
Indicates that something is included as a component or asset within a particular portfolio.
-
C.
positionInProductLine
Indicates the specific place or order an item occupies within a defined product line or series.
-
D.
positionOnFranchise
Indicates the specific role, rank, or status an entity holds within a particular franchise or franchise-based organization.
-
E.
positionInIndustry
Indicates the role, rank, or standing that an entity holds within a particular industry or sector.
- 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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9854ca081909e637adcac46a27c |
completed | March 8, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69adadfea024819094b41a13bc004bda |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb00f4f8c81908f88daf71f6a9c29 |
completed | March 8, 2026, 5:21 p.m. |
Created at: March 8, 2026, 3:15 p.m.