Triple
T4830188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swanson |
E107925
|
entity |
| Predicate | hasProduct |
P3585
|
FINISHED |
| Object | Swanson Vegetable 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 Vegetable Broth | Statement: [Swanson, hasProduct, Swanson Vegetable Broth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swanson Vegetable Broth Context triple: [Swanson, hasProduct, Swanson Vegetable Broth]
-
A.
Swanson Frozen Dinners
Swanson Frozen Dinners are a line of pre-packaged, heat-and-serve frozen meals that helped popularize the TV dinner concept in mid-20th-century America.
-
B.
Swanson
chosen
Swanson is a well-known American food brand recognized for its canned broths, stocks, and frozen meals.
-
C.
Soylent
Soylent is a brand of meal replacement products designed to provide convenient, nutritionally complete food in drinks, powders, and bars.
-
D.
Maggi
Maggi is a popular global food brand best known for its instant noodles, seasonings, and convenience products.
-
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_69be67d1d3508190a63a1daccce57da7 |
completed | March 21, 2026, 9:41 a.m. |
Created at: March 20, 2026, 1:24 p.m.