Triple
T16653887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dyal Singh Majithia |
E404674
|
entity |
| Predicate | newspaperFoundedLanguage |
P77121
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Dyal Singh Majithia, newspaperFoundedLanguage, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: newspaperFoundedLanguage Context triple: [Dyal Singh Majithia, newspaperFoundedLanguage, English]
-
A.
hasNewspaperFoundedThere
Indicates that a newspaper was founded at or in the location specified by the related entity.
-
B.
firstNewspaperUsingYear
Indicates the year in which a newspaper was first used, published, or came into existence.
-
C.
founderAcquiredNewspaper
Indicates that a founder purchased or took ownership of a newspaper.
-
D.
newspaperOfOrigin
Indicates the newspaper from which something (such as an article, report, or content item) originally comes or was first published.
-
E.
languageOfOnlineEdition
chosen
Indicates the language in which an online edition of a work or resource is presented.
- F. None of above.
Provenance (3 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37bf92de48190aaae3e93039b17f3 |
completed | April 18, 2026, 12:41 p.m. |
| PD | Predicate disambiguation | batch_69e319b1d7f08190b5ecb4a68c636c15 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:18 a.m.