Triple
T17078419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angel Soft 2‑ply toilet paper |
E414408
|
entity |
| Predicate | typicalPurchaseLocation |
P29134
|
FINISHED |
| Object | grocery stores |
—
|
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: grocery stores | Statement: [Angel Soft 2‑ply toilet paper, typicalPurchaseLocation, grocery stores]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPurchaseLocation Context triple: [Angel Soft 2‑ply toilet paper, typicalPurchaseLocation, grocery stores]
-
A.
purchaseLocation
chosen
Indicates the place or venue where a purchase or transaction is made.
-
B.
typicalUseLocation
Indicates the usual or most common location where an entity is used or operates.
-
C.
typicalStorePlacement
Indicates the usual or standard physical location where an item is placed or displayed within a store.
-
D.
hasStoreLocation
Indicates that an entity operates or maintains a store at a specified physical location.
-
E.
purchasedFrom
Indicates that one entity bought or acquired something from another entity as the seller or source.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe0e9cc8190b6c4b6065b474d1d |
completed | April 18, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69e35d642f74819098c014135e249b27 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:34 a.m.