Triple
T11296275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girl Scout Cookie Program |
E267458
|
entity |
| Predicate | typeOfSales |
P30531
|
FINISHED |
| Object | direct-to-consumer sales |
—
|
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: direct-to-consumer sales | Statement: [Girl Scout Cookie Program, typeOfSales, direct-to-consumer sales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfSales Context triple: [Girl Scout Cookie Program, typeOfSales, direct-to-consumer sales]
-
A.
saleType
chosen
Indicates the specific category or method by which a sale is conducted or classified (e.g., retail, wholesale, auction).
-
B.
scopeOfSales
Indicates the range, extent, or boundaries within which sales activities, rights, or transactions are valid or permitted.
-
C.
saleTo
Indicates a transaction in which one party sells goods, services, or assets to another party.
-
D.
typicalGoodsSold
Indicates the kinds of goods or products that an entity most commonly or characteristically sells.
-
E.
associatedSingleSales
Indicates that there is a specific, single sales record or transaction linked to the given entity.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9a262e08190a7c1eacbc6019496 |
completed | April 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69d787a6ca2c8190afdc24b61ccd3f8a |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.