Triple
T272052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google Photos |
E5653
|
entity |
| Predicate | hasUserBase |
P7221
|
FINISHED |
| Object | over 1 billion users (approximate) |
—
|
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: over 1 billion users (approximate) | Statement: [Google Photos, hasUserBase, over 1 billion users (approximate)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUserBase Context triple: [Google Photos, hasUserBase, over 1 billion users (approximate)]
-
A.
hasUser
Indicates that an entity is associated with or linked to a specific user.
-
B.
hasUserService
Indicates that an entity is associated with or utilizes a particular user-related service.
-
C.
userBase
chosen
Indicates that one entity serves as the primary or foundational group of users associated with another entity.
-
D.
mainBase
Indicates that one entity serves as the primary or central base or headquarters for another entity.
-
E.
hasVolunteerBase
Indicates that an entity maintains or relies on a group of volunteers as a foundational support resource.
- 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.