Triple
T272039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google Photos |
E5653
|
entity |
| Predicate | stores |
P3676
|
FINISHED |
| Object | photos |
—
|
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: photos | Statement: [Google Photos, stores, photos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stores Context triple: [Google Photos, stores, photos]
-
A.
hasGiftShop
Indicates that an entity includes or provides access to a gift shop as part of its facilities or services.
-
B.
storageFacility
chosen
Indicates a relationship where one entity serves as a place or facility used to store another entity or its items.
-
C.
collects
Indicates that one entity gathers, accumulates, or brings together one or more other entities into its possession or control.
-
D.
seller
Indicates a relationship where one entity offers or provides goods, services, or assets to another in exchange for payment or other compensation.
-
E.
market
Indicates the act of promoting, advertising, or selling a product, service, or idea to potential buyers or target audiences.
- 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_69a25853594c8190b05ec3a586ec88bf |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25e69a9248190b9e7959b43223baa |
completed | Feb. 28, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69a25b721180819080d43c43fcbccf87 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:57 a.m.