Triple
T27813406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mirkaei Tikshoret |
E702593
|
entity |
| Predicate | languageOfOwnedNewspaper |
P17914
|
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: [Mirkaei Tikshoret, languageOfOwnedNewspaper, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfOwnedNewspaper Context triple: [Mirkaei Tikshoret, languageOfOwnedNewspaper, English]
-
A.
languageOfOnlineEdition
Indicates the language in which an online edition of a work or resource is presented.
-
B.
newspaperOfOrigin
Indicates the newspaper from which something (such as an article, report, or content item) originally comes or was first published.
-
C.
languageOfWritings
chosen
Indicates that a specified language is the one in which certain writings or written works are composed.
-
D.
mediaCoverageInLanguage
Indicates that media coverage is provided or available in a specified language.
-
E.
associatedWithNewspaper
Indicates a relationship where an entity is connected or linked to a newspaper, such as through ownership, employment, contribution, or representation.
- 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_69ef840a16748190926719ab96120bae |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69fd6f9d600c8190acf495b7fc632e4b |
completed | May 8, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69fd6e98a2948190a9f78c415ad23b8c |
completed | May 8, 2026, 5:03 a.m. |
Created at: April 27, 2026, 5:43 p.m.