Triple
T19652031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phra Lak |
E471837
|
entity |
| Predicate | mediumOfRepresentation |
P35187
|
FINISHED |
| Object | literature |
—
|
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: literature | Statement: [Phra Lak, mediumOfRepresentation, literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediumOfRepresentation Context triple: [Phra Lak, mediumOfRepresentation, literature]
-
A.
mediumOfExistence
Indicates the medium, environment, or substrate within which an entity exists, manifests, or is realized.
-
B.
visualMedium
Indicates that one entity serves as the visual medium or format through which another entity is presented, communicated, or experienced.
-
C.
primaryMediumOfDepiction
Indicates that a specified medium (such as painting, sculpture, or photography) is the main form through which an entity is depicted.
-
D.
representsMedium
chosen
Indicates that one entity serves as the medium, channel, or means through which another entity is expressed, communicated, or realized.
-
E.
mediumDepictedIn
Indicates that a particular medium or material is represented, shown, or referenced within another work or depiction.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64141f61c819098fe148581fb1747 |
completed | April 20, 2026, 3:07 p.m. |
| PD | Predicate disambiguation | batch_69e514e941008190898d978d7bde91e4 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:44 p.m.