Triple
T5432373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NA28 |
E121525
|
entity |
| Predicate | typeOfText |
P5468
|
FINISHED |
| Object | eclectic critical text |
—
|
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: eclectic critical text | Statement: [NA28, typeOfText, eclectic critical text]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfText Context triple: [NA28, typeOfText, eclectic critical text]
-
A.
textType
chosen
Indicates the classification of a text according to its type, format, or genre.
-
B.
textMode
Indicates that something operates, is displayed, or is processed in a mode where information is handled primarily as text rather than as graphics or other media.
-
C.
textBy
Indicates that a given text or written content was authored or produced by a particular entity.
-
D.
textContent
Indicates that one entity is the textual content or written material contained within another entity.
-
E.
textualStructure
Indicates how parts of a text are organized and related to each other within its overall structure.
- 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_69bd463c65f0819082ee6483ab4b466a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8911a7348190ad9378a248190f07 |
completed | March 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69bd846b8bdc81909dcdc2a3084226f2 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:06 p.m.