Triple
T9431796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | StumbleUpon |
E227393
|
entity |
| Predicate | contentTypesRecommended |
P88872
|
FINISHED |
| Object | web pages |
—
|
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: web pages | Statement: [StumbleUpon, contentTypesRecommended, web pages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contentTypesRecommended Context triple: [StumbleUpon, contentTypesRecommended, web pages]
-
A.
featuredContentType
Indicates the specific type or category of content that is highlighted or promoted as featured.
-
B.
notableContentType
Indicates the type or category of content for which an entity is notable or best known.
-
C.
mainContentType
Indicates the primary type or category of content associated with an entity or resource.
-
D.
offersContentType
Indicates that one entity provides or makes available content of a specified type to another entity or context.
-
E.
curatesContentFrom
Indicates that one entity selects, organizes, and presents content that originates from 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_69ca8437a7ac81908651de48f2d2141d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7e6059bc8190a7e98aef3caabd0b |
completed | April 1, 2026, 8:21 p.m. |
| PD | Predicate disambiguation | batch_69cca55548488190b171ae695a3212de |
completed | April 1, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69cca89b3368819087a3d69270c1f185 |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 7:49 p.m.