Triple
T4830189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swanson |
E107925
|
entity |
| Predicate | hasProduct |
P3585
|
FINISHED |
| Object | Swanson Chicken Stock |
E107925
|
NE 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: Swanson Chicken Stock | Statement: [Swanson, hasProduct, Swanson Chicken Stock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swanson Chicken Stock Context triple: [Swanson, hasProduct, Swanson Chicken Stock]
-
A.
Maggi
Maggi is a popular global food brand best known for its instant noodles, seasonings, and convenience products.
-
B.
Swanson
chosen
Swanson is a well-known American food brand recognized for its canned broths, stocks, and frozen meals.
-
C.
Saveur
Saveur is a culinary magazine known for its in-depth exploration of global cuisines, food culture, and travel.
-
D.
Knorr
Knorr is a global food brand known for its soups, seasonings, bouillon, and ready-made meal products.
-
E.
Cargill Protein
Cargill Protein is a leading North American meat and poultry business unit of Cargill, focused on producing and supplying beef, turkey, and other protein products to retail, foodservice, and industrial customers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd43fac8188190803f0327190621e4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6cc66c488190a49052e32411dc4b |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4dd0bf7c8190a11065bb61def18e |
completed | March 21, 2026, 7:50 a.m. |
Created at: March 20, 2026, 1:24 p.m.