Triple
T32902326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Act I Prelude |
E841644
|
entity |
| Predicate | parentWorkPremiereCountry |
P192791
|
FINISHED |
| Object | Kingdom of Bavaria |
—
|
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: Kingdom of Bavaria | Statement: [Act I Prelude, parentWorkPremiereCountry, Kingdom of Bavaria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentWorkPremiereCountry Context triple: [Act I Prelude, parentWorkPremiereCountry, Kingdom of Bavaria]
-
A.
workPremiereCountry
Indicates the country in which a work (such as a film, play, or musical piece) was first premiered or publicly presented.
-
B.
placeOfWorkPremiere
Indicates the location where a person’s work or performance was first publicly presented or debuted.
-
C.
countryOfPremiere
Indicates the country in which a work (such as a film, show, or performance) was first publicly premiered.
-
D.
workPremiereTheater
Indicates the theater where a work (such as a play, film, or performance) was first publicly premiered.
-
E.
productionCountryOfWorkAppearsIn
Indicates that a country is the production country of a work in which a given entity appears.
- 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_69f34946a5208190bbd79f0fec4323bd |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd2a215d6c8190a1a428ccaee603f1 |
completed | May 8, 2026, 12:11 a.m. |
| PD | Predicate disambiguation | batch_69fd28ef19688190bb8370f2812a43e7 |
completed | May 8, 2026, 12:06 a.m. |
| PDg | Predicate description generation | batch_69fd2a2095f88190bfcbcb2973516ffc |
completed | May 8, 2026, 12:11 a.m. |
Created at: May 1, 2026, 1:19 a.m.