Triple
T25637564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corona Light |
E642746
|
entity |
| Predicate | hasShelfPlacement |
P159168
|
FINISHED |
| Object | beer aisle |
—
|
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: beer aisle | Statement: [Corona Light, hasShelfPlacement, beer aisle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShelfPlacement Context triple: [Corona Light, hasShelfPlacement, beer aisle]
-
A.
hasShelfType
Indicates that one entity is assigned or characterized by a particular type or category of shelf.
-
B.
shelfStable
Indicates that an item can be safely stored at room temperature for an extended period without refrigeration or significant risk of spoilage.
-
C.
shelfMark
Indicates the classification or call number assigned to an item to specify its exact location on a shelf or within a storage system.
-
D.
canBePlacedUnder
Indicates that one entity is allowed or able to be positioned beneath another entity in a spatial or structural arrangement.
-
E.
isLendingLibrary
Indicates that an entity functions as a library that lends items (such as books or media) to users.
- F. None of above. chosen
Provenance (4 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_69e77e7ce28081908b08d65ee6e5c8be |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fa6345548190a52498ecb0a2f555 |
completed | May 2, 2026, 1:21 p.m. |
| PD | Predicate disambiguation | batch_69f4938262ac8190b41f922d0407d272 |
completed | May 1, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 21, 2026, 5:34 p.m.