Triple
T29239049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Overture Piccante |
E741268
|
entity |
| Predicate | titleWordMeaning |
P193885
|
FINISHED |
| Object | "Piccante" means "spicy" in Italian |
—
|
NE NERFINISHED |
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: "Piccante" means "spicy" in Italian | Statement: [Overture Piccante, titleWordMeaning, "Piccante" means "spicy" in Italian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleWordMeaning Context triple: [Overture Piccante, titleWordMeaning, "Piccante" means "spicy" in Italian]
-
A.
wordByWordMeaning
Indicates a relationship where the detailed meaning of a phrase or sentence is given separately for each individual word.
-
B.
etMeaning
Indicates that one entity expresses or conveys the semantic content or intended sense of another entity (such as a word, phrase, or symbol).
-
C.
textMeaning
Indicates that one text expresses, conveys, or corresponds to a particular meaning or semantic content.
-
D.
ermenMeaning
Indicates that one entity represents or conveys the meaning or semantic interpretation of another entity.
-
E.
duMeaning
Indicates that one entity expresses, conveys, or signifies a particular meaning or sense in relation to another.
- F. None of above. chosen
Provenance (4 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_69f0911dd6fc819097d1abb287016489 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69fd592e48cc81909d754cc6c4bd99ae |
completed | May 8, 2026, 3:31 a.m. |
| PD | Predicate disambiguation | batch_69fd58b7f9b881909dc099b28d567784 |
completed | May 8, 2026, 3:30 a.m. |
| PDg | Predicate description generation | batch_69fd592cc56081908ce456114d407616 |
completed | May 8, 2026, 3:31 a.m. |
Created at: April 28, 2026, 12:30 p.m.