Triple
T19907526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dilbert |
E478456
|
entity |
| Predicate | peakNewspaperCount |
P137781
|
FINISHED |
| Object | over 2,000 newspapers |
—
|
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: over 2,000 newspapers | Statement: [Dilbert, peakNewspaperCount, over 2,000 newspapers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakNewspaperCount Context triple: [Dilbert, peakNewspaperCount, over 2,000 newspapers]
-
A.
publishedNewspaper
Indicates that an entity produced and issued a newspaper for public distribution.
-
B.
eraOfNewspaperDominance
Indicates the time period during which newspapers were the primary or dominant medium for news and public information.
-
C.
majorNewspaper
Indicates that an entity is a leading, widely recognized newspaper of significant influence or prominence.
-
D.
isServedByNewspaper
Indicates that a person or entity receives news or information provided by a particular newspaper.
-
E.
localNewspaper
Indicates that one entity is a newspaper that primarily serves the local area or community of the other 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6598cc5108190bca2a47c9f8ef70f |
completed | April 20, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69e537ecda248190895c96afb6243823 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c136b081909cab9394b958390a |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:52 p.m.