Triple
T920905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wikipedia |
E19879
|
entity |
| Predicate | EnglishEditionURL |
P22394
|
FINISHED |
| Object | https://en.wikipedia.org/ |
—
|
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: https://en.wikipedia.org/ | Statement: [Wikipedia, EnglishEditionURL, https://en.wikipedia.org/]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: EnglishEditionURL Context triple: [Wikipedia, EnglishEditionURL, https://en.wikipedia.org/]
-
A.
EnglishVersionFeature
Indicates that the related item is a feature or aspect specifically associated with the English-language version of something.
-
B.
publisherOfEnglishEdition
Indicates that an entity serves as the publisher responsible for the English-language edition of another work or resource.
-
C.
EnglishPublicationDate
Indicates the date on which something is (or was) published in English.
-
D.
isbnFirstEnglishEdition
Indicates that the object is the ISBN identifier corresponding to the first English-language edition of the subject work.
-
E.
languageOfOfficialEditions
Indicates the language in which the official editions or versions of a work, document, or publication are produced or authorized.
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b388f0bc8190a087222636135ba5 |
completed | March 1, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69a4b2944ff88190a260be5355132ba5 |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b385176081909e3e8c3f647c1fd4 |
completed | March 1, 2026, 9:45 p.m. |
Created at: March 1, 2026, 7:40 p.m.