Triple
T4984415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacific Foods |
E111964
|
entity |
| Predicate | offersDietaryOption |
P34157
|
FINISHED |
| Object | gluten-free products |
—
|
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: gluten-free products | Statement: [Pacific Foods, offersDietaryOption, gluten-free products]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersDietaryOption Context triple: [Pacific Foods, offersDietaryOption, gluten-free products]
-
A.
dietaryOptions
chosen
Indicates the types of diets or food-related preferences, restrictions, or choices that are applicable to or offered for an entity.
-
B.
offersCuisine
Indicates that one entity provides or serves a particular type or style of cuisine to others.
-
C.
hasDietaryLaw
Indicates that one entity prescribes, follows, or is governed by a specific set of dietary rules or restrictions associated with another entity.
-
D.
offersMeal
Indicates that one entity provides or makes available a meal to another entity.
-
E.
hasSpecialtyFood
Indicates that an entity offers, serves, or is associated with a particular type of specialty food.
- 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_69bd441adc208190b70a033a0741d01e |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd74249a8c8190952680aee06a9286 |
completed | March 20, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69bd71492dec8190af4c27a3043b35cc |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:33 p.m.