Triple
T7087531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 365 Everyday Value |
E165114
|
entity |
| Predicate | typicalStorePlacement |
P74457
|
FINISHED |
| Object | center store grocery aisles |
—
|
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: center store grocery aisles | Statement: [365 Everyday Value, typicalStorePlacement, center store grocery aisles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalStorePlacement Context triple: [365 Everyday Value, typicalStorePlacement, center store grocery aisles]
-
A.
storeType
Indicates the category or kind of store associated with an entity, such as its retail or service type.
-
B.
canBePlacedUnder
Indicates that one entity is allowed or able to be positioned beneath another entity in a spatial or structural arrangement.
-
C.
reportedlyStores
Indicates that an entity is said or believed, based on reports or claims, to store or hold another entity, without confirming that this storage actually occurs.
-
D.
typicalGameLocation
Indicates the usual or characteristic place where a game is played or takes place.
-
E.
plateLocation
Indicates the spatial position or placement of a plate relative to a reference location or object.
- 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_69c6887d98408190912b9580666b0c1d |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e513d9b08190a8a8d213c2264ce4 |
completed | March 27, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c172148190bf290c07bf579d1f |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e24af9ac8190b24eee206ba8be36 |
completed | March 27, 2026, 8:02 p.m. |
Created at: March 27, 2026, 2:41 p.m.