Triple
T4830186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swanson |
E107925
|
entity |
| Predicate | hasProduct |
P3585
|
FINISHED |
| Object | Swanson Chicken Broth |
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 Broth | Statement: [Swanson, hasProduct, Swanson Chicken Broth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swanson Chicken Broth Context triple: [Swanson, hasProduct, Swanson Chicken Broth]
-
A.
Swanson
chosen
Swanson is a well-known American food brand recognized for its canned broths, stocks, and frozen meals.
-
B.
Maggi
Maggi is a popular global food brand best known for its instant noodles, seasonings, and convenience products.
-
C.
Nature's Valley
Nature's Valley is a small coastal village in South Africa renowned for its unspoiled beaches, indigenous forests, and tranquil setting within the Garden Route.
-
D.
Campbell Soup Company
Campbell Soup Company is a major American food manufacturer best known for its canned soups and iconic red-and-white branding.
-
E.
Saveur
Saveur is a culinary magazine known for its in-depth exploration of global cuisines, food culture, and travel.
- 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.