Triple
T10562569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acqua di mare |
E249258
|
entity |
| Predicate | hasPerformerEthnicity |
P76774
|
FINISHED |
| Object | Italian |
—
|
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: Italian | Statement: [Acqua di mare, hasPerformerEthnicity, Italian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPerformerEthnicity Context triple: [Acqua di mare, hasPerformerEthnicity, Italian]
-
A.
hasEthnicCharacteristic
Indicates that an entity possesses or is associated with a particular ethnic characteristic or identity.
-
B.
portrayedByEthnicity
chosen
Indicates that an entity is portrayed or represented by someone of a specified ethnic background.
-
C.
hasPerformerGender
Indicates that an action, event, or performance is associated with the gender of the performer who carries it out.
-
D.
performingArtistNationality
Indicates the nationality or country of origin of the artist who performs a given work or performance.
-
E.
hasPerformerCharacteristic
Indicates that a performer possesses a particular attribute, quality, or characteristic.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d527212dd081908629d91ce08f96a0 |
completed | April 7, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69d51901ff6c819095e7b528170a69dc |
completed | April 7, 2026, 2:47 p.m. |
Created at: April 6, 2026, 12:36 p.m.