Triple
T36185724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kruševac City Library |
E1046837
|
entity |
| Predicate | mediaTypeCollected |
P95096
|
FINISHED |
| Object | books |
—
|
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: books | Statement: [Kruševac City Library, mediaTypeCollected, books]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaTypeCollected Context triple: [Kruševac City Library, mediaTypeCollected, books]
-
A.
mediaType
Indicates the format or category of media associated with an entity, such as text, image, audio, or video.
-
B.
mediaTypeOrigin
Indicates the original source or context from which a particular media type was derived or introduced.
-
C.
mediaTypeExample
Indicates that something serves as an example or illustrative instance of a particular media type.
-
D.
mediaTypeAvailable
chosen
Indicates that a particular type or format of media is available for use, access, or distribution in the given context.
-
E.
mediaTypeRecognized
Indicates that a system has successfully identified and accepted the type or format of a given media item as valid or supported.
- 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_69f76e3d4fbc81908c159c7beeb4ce00 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c475c58c8190a883554231e88c88 |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:08 p.m.