Triple
T16600965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CORPES XXI |
E403327
|
entity |
| Predicate | textTypesIncluded |
P5468
|
FINISHED |
| Object | written 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: written texts | Statement: [CORPES XXI, textTypesIncluded, written texts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textTypesIncluded Context triple: [CORPES XXI, textTypesIncluded, written texts]
-
A.
textsIncludedIn
Indicates that certain texts are contained within, or form a subset of, a larger collection or body of texts.
-
B.
textType
chosen
Indicates the classification of a text according to its type, format, or genre.
-
C.
documentTypeIncluded
Indicates that a particular document type is contained within, or is part of, a specified set or collection of document types.
-
D.
textModes
Indicates a relationship where an entity supports or operates in specific textual modes or formats (such as plain text, rich text, or other text-based configurations).
-
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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35d764574819081366374ca0c9bea |
completed | April 18, 2026, 10:31 a.m. |
| PD | Predicate disambiguation | batch_69e296aabc508190b3836a91b49113ad |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:17 a.m.