Triple
T12242748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pong |
E291774
|
entity |
| Predicate | operaLanguageOfWorkAppearedIn |
P78807
|
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: [Pong, operaLanguageOfWorkAppearedIn, Italian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operaLanguageOfWorkAppearedIn Context triple: [Pong, operaLanguageOfWorkAppearedIn, Italian]
-
A.
originalLanguageOfLibretto
chosen
Indicates the language in which a libretto was originally written for a given work.
-
B.
originalLanguageOfWinningWorks
Indicates the language in which the works that won an award or competition were originally created or written.
-
C.
operaAct
Indicates that an entity performs in or takes part in an act (segment) of an opera performance.
-
D.
performedLanguage
Indicates that an action, work, or performance was carried out using a specified language.
-
E.
associatedOpera
Indicates that there is a relationship linking an entity to an opera with which it is connected or related (e.g., as subject, inspiration, or context).
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d924a3973c8190a882046963b320fb |
completed | April 10, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69d91c41bcbc81909782f4e3c571b218 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.