Triple
T19691681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | V8 Original |
E472848
|
entity |
| Predicate | typicalShelfPlacement |
P74457
|
FINISHED |
| Object | juice 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: juice aisle | Statement: [V8 Original, typicalShelfPlacement, juice aisle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalShelfPlacement Context triple: [V8 Original, typicalShelfPlacement, juice aisle]
-
A.
typicalStorePlacement
chosen
Indicates the usual or standard physical location where an item is placed or displayed within a store.
-
B.
canBePlacedUnder
Indicates that one entity is allowed or able to be positioned beneath another entity in a spatial or structural arrangement.
-
C.
typicalDecorationPlacement
Indicates the usual or most common spatial arrangement where a decoration is placed relative to another object or environment.
-
D.
typicalDimension
Indicates that one entity represents a standard or characteristic measurement (such as size, length, or capacity) typically associated with another entity.
-
E.
plateLocation
Indicates the spatial position or placement of a plate relative to a reference location or object.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6421013c4819095e80aadfe590102 |
completed | April 20, 2026, 3:11 p.m. |
| PD | Predicate disambiguation | batch_69e53039ea808190a9106a53f564ab92 |
completed | April 19, 2026, 7:42 p.m. |
Created at: April 10, 2026, 1:46 p.m.