Triple
T10636590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Datong City Library |
E250595
|
entity |
| Predicate | mediaTypeAvailable |
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: [Datong City Library, mediaTypeAvailable, books]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaTypeAvailable Context triple: [Datong City Library, mediaTypeAvailable, books]
-
A.
mediaType
Indicates the format or category of media associated with an entity, such as text, image, audio, or video.
-
B.
mediaTypeExample
Indicates that something serves as an example or illustrative instance of a particular media type.
-
C.
mediaTypeRecognized
Indicates that a system has successfully identified and accepted the type or format of a given media item as valid or supported.
-
D.
mediaTypeManaged
Indicates that one entity is responsible for controlling, organizing, or overseeing the specified media type associated with another entity.
-
E.
ownedMediaType
Indicates the type or category of media content that is owned in the context of the ownership relationship.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfad9dbc81909a4f78d93ecfaa20 |
completed | April 8, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69d6dd83b114819098e84dc658e82d7e |
completed | April 8, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69d6df463ea8819091d6683e476b4f21 |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 8, 2026, 9:04 p.m.