Triple
T31995229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guilin chili sauce |
E816975
|
entity |
| Predicate | commonlyPackagedIn |
P90629
|
FINISHED |
| Object | glass jar |
—
|
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: glass jar | Statement: [Guilin chili sauce, commonlyPackagedIn, glass jar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonlyPackagedIn Context triple: [Guilin chili sauce, commonlyPackagedIn, glass jar]
-
A.
packagingIncludes
Indicates that the packaging of one item contains or comes with another specified item or component.
-
B.
typicalPackage
chosen
Indicates that something is the standard or commonly used package associated with a given entity or context.
-
C.
commonlyFoundOn
Indicates that one entity is typically or frequently located on, attached to, or present upon another entity.
-
D.
packaging
Indicates that one entity serves as the container, wrapper, or enclosing material used to package another entity.
-
E.
isOftenPurchasedAs
Indicates that one item is frequently bought together with, or in conjunction with, another item.
- 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_69f348f8002081909a3588758ba94afb |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe12a899d4819080d48423f32eace9 |
completed | May 8, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69fe0d7f6aa08190a1d2dfc025d4e0dc |
completed | May 8, 2026, 4:21 p.m. |
Created at: May 1, 2026, 12:13 a.m.