Triple
T79694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Discourses on Davila |
E1599
|
entity |
| Predicate | publicationMedium |
P309
|
FINISHED |
| Object | newspaper essays |
—
|
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: newspaper essays | Statement: [Discourses on Davila, publicationMedium, newspaper essays]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicationMedium Context triple: [Discourses on Davila, publicationMedium, newspaper essays]
-
A.
publicationType
Indicates the specific category or format of a published work that characterizes how it is issued or presented.
-
B.
publishedIn
chosen
Indicates that a work (such as an article, paper, or book) has been formally released or made available within a specific venue, medium, or publication.
-
C.
publisherType
Indicates the classification or category of a publisher in relation to a published work or entity.
-
D.
publisherImprint
Indicates the publishing imprint or brand under which a work is issued by a publisher.
-
E.
mediaType
Indicates the format or category of media associated with an entity, such as text, image, audio, or video.
- 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_69a24c60d19c8190a1b6c105ca59ef5b |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a24fd16c248190a6ee4cd96c388772 |
completed | Feb. 28, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69a24eb126b48190b410b859c1be99aa |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.