Triple
T9866335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbour Silver Company |
E239840
|
entity |
| Predicate | typicalMarket |
P28886
|
FINISHED |
| Object | domestic tableware market |
—
|
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: domestic tableware market | Statement: [Barbour Silver Company, typicalMarket, domestic tableware market]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalMarket Context triple: [Barbour Silver Company, typicalMarket, domestic tableware market]
-
A.
marketTrait
Indicates that an entity possesses a particular characteristic, behavior, or attribute relevant to how it functions or is perceived in a market context.
-
B.
coreMarket
chosen
Indicates that an entity serves as the primary or most important market for another entity’s products, services, or activities.
-
C.
marketType
Indicates the classification or category of market in which an entity operates or a transaction occurs (e.g., retail, wholesale, online).
-
D.
marketsIn
Indicates that one entity promotes, sells, or offers another entity’s products or services within a particular market or geographic area.
-
E.
coversMarket
Indicates that one entity operates in, serves, or has business presence within a particular market or geographic/sectoral area.
- 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_69ca84e7506c819095cbde4ff16512bb |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3d091e48190b10463562d0dc461 |
completed | April 2, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69cd1d7621d48190aa6a6f34399514b0 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:36 p.m.