Triple
T38250663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prometeo. Tragedia dell’ascolto |
E1014039
|
entity |
| Predicate | textTreatment |
P5468
|
FINISHED |
| Object | fragmented |
—
|
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: fragmented | Statement: [Prometeo. Tragedia dell’ascolto, textTreatment, fragmented]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textTreatment Context triple: [Prometeo. Tragedia dell’ascolto, textTreatment, fragmented]
-
A.
textType
chosen
Indicates the classification of a text according to its type, format, or genre.
-
B.
textProcessing
Indicates the action of analyzing, transforming, or manipulating text data to extract information, modify its form, or prepare it for further use.
-
C.
textBy
Indicates that a given text or written content was authored or produced by a particular entity.
-
D.
textScript
Indicates the writing system or script in which a given piece of text is expressed.
-
E.
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.
- 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_69f76dd7e89c8190b7866bc85aea521b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc3321ef081908023590ba70ba0cf |
completed | May 7, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fdc6e08190b05e894c59481a0d |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:30 p.m.