Triple
T4945340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friendster |
E111035
|
entity |
| Predicate | dataExportOffered |
P60091
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Friendster, dataExportOffered, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataExportOffered Context triple: [Friendster, dataExportOffered, yes]
-
A.
exportedTo
Indicates that goods, services, or resources are sent out from one entity or region to another for trade or sale.
-
B.
offersEdition
Indicates that one entity provides or makes available a particular version or edition of another entity.
-
C.
offeredService
Indicates that one entity has provided or made available a service to another entity.
-
D.
exportedVia
Indicates that something is sent out or made available to an external destination through a specified medium, channel, or mechanism.
-
E.
isExportable
Indicates that something can be legally and practically transferred or sent out from one jurisdiction, system, or context to another.
- 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.