Triple
T11010104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gamay for red and rosé wines |
E260222
|
entity |
| Predicate | typicalMarketPosition |
P1850
|
FINISHED |
| Object | value-oriented |
—
|
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: value-oriented | Statement: [Gamay for red and rosé wines, typicalMarketPosition, value-oriented]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalMarketPosition Context triple: [Gamay for red and rosé wines, typicalMarketPosition, value-oriented]
-
A.
marketPosition
chosen
Indicates the relative standing or rank an entity holds within a specific market compared to its competitors.
-
B.
underlyingCompanyMarketPosition
Indicates the competitive standing or strength of a company within its relevant market or industry.
-
C.
systematicPosition
Indicates the taxonomic or hierarchical classification relationship that specifies where an entity is positioned within a systematic structure or system.
-
D.
marketType
Indicates the classification or category of market in which an entity operates or a transaction occurs (e.g., retail, wholesale, online).
-
E.
formerMarket
Indicates that an entity previously functioned as a market but no longer serves that role.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79788d44c819084f35693ed96f422 |
completed | April 9, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69d72e96be6c8190a46c69f61b2d8cd4 |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:25 p.m.