Triple
T37768760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia World 2012 |
E941484
|
entity |
| Predicate | productLineShowcased |
P199496
|
FINISHED |
| Object | Nokia Lumia |
—
|
NE NERFINISHED |
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: Nokia Lumia | Statement: [Nokia World 2012, productLineShowcased, Nokia Lumia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productLineShowcased Context triple: [Nokia World 2012, productLineShowcased, Nokia Lumia]
-
A.
productLineStart
Indicates the point in time or position at which a particular product line begins or is first introduced.
-
B.
platformShowcased
Indicates that a platform is prominently presented or highlighted, typically to draw attention to its features, capabilities, or offerings.
-
C.
belongsToProductLine
Indicates that an item or product is associated with and classified under a specific product line.
-
D.
productExample
Indicates that one entity serves as an illustrative or sample instance of a product associated with another entity.
-
E.
portraysProduct
Indicates that one entity visually or narratively represents, depicts, or features a particular product.
- 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_69f76ee3251881909bb4451aad50752b |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff3e1762d8819089a60e402e682817 |
completed | May 9, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69ff3d8c6f308190a0646b1432752eb8 |
completed | May 9, 2026, 1:58 p.m. |
| PDg | Predicate description generation | batch_69ff3e16527c81908c8d89da704ce012 |
completed | May 9, 2026, 2 p.m. |
Created at: May 3, 2026, 4:19 p.m.