Triple
T28592939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ukrainian Wikisource |
E723703
|
entity |
| Predicate | hostedTextsType |
P144659
|
FINISHED |
| Object | public-domain texts |
—
|
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: public-domain texts | Statement: [Ukrainian Wikisource, hostedTextsType, public-domain texts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostedTextsType Context triple: [Ukrainian Wikisource, hostedTextsType, public-domain texts]
-
A.
textType
Indicates the classification of a text according to its type, format, or genre.
-
B.
hosted
Indicates that one entity organized and provided the venue or platform for an event, activity, or presence involving another entity.
-
C.
hostedFormat
chosen
Indicates that an entity is provided or made available in a particular hosted format or presentation style.
-
D.
hostsTypeOfEvent
Indicates that an entity organizes or provides the venue for a particular type or category of event.
-
E.
hostedFirst
Indicates that one entity acted as the initial host for another entity, preceding any subsequent hosts.
- 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_69f01d7f92e481909847f5f3f3174a89 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f676f968d08190a4adba0439b438c9 |
completed | May 2, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 28, 2026, 4:21 a.m.