Triple
T32463295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Het Laatste Nieuws |
E829633
|
entity |
| Predicate | readerFormat |
P174204
|
FINISHED |
| Object | subscription |
—
|
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: subscription | Statement: [Het Laatste Nieuws, readerFormat, subscription]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: readerFormat Context triple: [Het Laatste Nieuws, readerFormat, subscription]
-
A.
readingType
Indicates the specific kind or category of reading associated with a measurement, observation, or recorded value.
-
B.
readingFeature
Indicates that an entity possesses a characteristic, capability, or attribute specifically related to reading.
-
C.
alternativeReader
Indicates that one entity serves as an alternative or substitute reader for another entity or resource.
-
D.
readingOf
Indicates that one entity is an interpretation, measurement, or recorded value derived from another entity.
-
E.
readingSystem
Indicates a system or device that presents, interprets, or processes written or digital content for a user.
- 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_69f3491ee87c81908cbf5890079c2af6 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c34f15c88190a2cf86631d80ae35 |
completed | May 3, 2026, 3:38 a.m. |
| PD | Predicate disambiguation | batch_69f6ba700a708190ab6db62791e43774 |
completed | May 3, 2026, 3:01 a.m. |
| PDg | Predicate description generation | batch_69f6bbbe23d48190b2aa662d69b41900 |
completed | May 3, 2026, 3:06 a.m. |
Created at: May 1, 2026, 12:57 a.m.