Triple
T37358794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fin ch’han dal vino |
E927523
|
entity |
| Predicate | originalCityOfOperaPremiere |
P130981
|
FINISHED |
| Object | Prague |
E14162
|
NE 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: Prague | Statement: [Fin ch’han dal vino, originalCityOfOperaPremiere, Prague]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalCityOfOperaPremiere Context triple: [Fin ch’han dal vino, originalCityOfOperaPremiere, Prague]
-
A.
MetropolitanOperaPremiereCity
Indicates the city where a given work had its premiere performance at the Metropolitan Opera.
-
B.
originalTheatreOfPremiere
Indicates the theatre where a work was first premiered or originally performed.
-
C.
premiereOperaPlace
chosen
Indicates the place where an opera was first premiered or publicly performed.
-
D.
operaHouseOfPremiere
Indicates the opera house where a particular work was first premiered or originally performed.
-
E.
originalBroadwayCity
Indicates the city where a theatrical production first opened on Broadway.
- F. None of above.
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_69f76eb701788190b40824bc4594d985 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40823e854c81908d269eac8cb1ecdf |
completed | June 28, 2026, 2:09 a.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:16 p.m.