Triple
T4945342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friendster |
E111035
|
entity |
| Predicate | userDataDeletion |
P60092
|
FINISHED |
| Object | profile content deleted in 2011 transition |
—
|
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: profile content deleted in 2011 transition | Statement: [Friendster, userDataDeletion, profile content deleted in 2011 transition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: userDataDeletion Context triple: [Friendster, userDataDeletion, profile content deleted in 2011 transition]
-
A.
exportUser
Indicates performing an action to extract and transfer a user's data from a system, typically into an external or portable format.
-
B.
dataUsers
Indicates a relationship where certain entities use, access, or consume specific data.
-
C.
dataUse
Indicates how data is intended to be accessed, processed, or applied within a particular context or activity.
-
D.
hasDataProtectionAuthority
Indicates that an entity is subject to, overseen by, or associated with a specific data protection authority responsible for regulating its handling of personal data.
-
E.
userBase
Indicates that one entity serves as the primary or foundational group of users associated with another entity.
- 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_69bd441721cc819085c7e33fe0876818 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd70aa890c81908e685ec5e88cae1f |
completed | March 20, 2026, 4:07 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3aa1388190b3e0c8ee1ba1e4fa |
completed | March 20, 2026, 3:48 p.m. |
| PDg | Predicate description generation | batch_69bd6fa2d2088190ae444d3d0e47d5d2 |
completed | March 20, 2026, 4:02 p.m. |
Created at: March 20, 2026, 1:31 p.m.