Triple
T33185405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minute Rice |
E849453
|
entity |
| Predicate | oftenAdvertisedAs |
P188501
|
FINISHED |
| Object | no measuring and no mess (for cups) |
—
|
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: no measuring and no mess (for cups) | Statement: [Minute Rice, oftenAdvertisedAs, no measuring and no mess (for cups)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenAdvertisedAs Context triple: [Minute Rice, oftenAdvertisedAs, no measuring and no mess (for cups)]
-
A.
advertisedAs
Indicates that something is promoted or presented to others as having a particular quality, identity, or role.
-
B.
isCommonlyMarketedAs
chosen
Indicates that something is frequently promoted, advertised, or sold under a particular name, label, or characterization.
-
C.
isOftenAdvertisedFor
Indicates that something is frequently promoted or marketed as being suitable or intended for a particular purpose, audience, or use.
-
D.
isTypicallySoldAs
Indicates that one entity is commonly offered for sale in the form, packaging, or configuration represented by another entity.
-
E.
alsoMarketedIn
Indicates that a product or service is additionally marketed or sold in another specified market or region.
- 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_69f3495e0f108190a6a7006f79f9c2c3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd0d0ba5c48190bddb3f0e6637544c |
completed | May 7, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69fd0c4324a8819086c90adf46216e0e |
completed | May 7, 2026, 10:03 p.m. |
Created at: May 1, 2026, 1:29 a.m.