Triple
T28261874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Grande-Duchesse de Gérolstein |
E712602
|
entity |
| Predicate | firstCityOfPerformanceOutsideFrance |
P201259
|
FINISHED |
| Object | Vienna |
—
|
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: Vienna | Statement: [La Grande-Duchesse de Gérolstein, firstCityOfPerformanceOutsideFrance, Vienna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstCityOfPerformanceOutsideFrance Context triple: [La Grande-Duchesse de Gérolstein, firstCityOfPerformanceOutsideFrance, Vienna]
-
A.
firstNonBayreuthPerformanceCity
Indicates the city where a work was first performed outside of Bayreuth.
-
B.
firstNonBayreuthPerformancePlace
Indicates the location where a work was first performed outside of Bayreuth.
-
C.
firstPerformanceCityOfWork
Indicates the city where a particular work was first performed.
-
D.
firstFrenchPremiereLocation
Indicates the location where an entity had its first premiere or initial public showing in France.
-
E.
performedInCity
Indicates that an action, event, or performance took place within the boundaries of a specified city.
- 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_69efb5207eb08190827e4c34048030b1 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69ffe23081408190a121d901dbce1403 |
completed | May 10, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69ffe18aed348190912a5996b2da728b |
completed | May 10, 2026, 1:38 a.m. |
| PDg | Predicate description generation | batch_69ffe22f453c81909867ee2d2047636f |
completed | May 10, 2026, 1:41 a.m. |
Created at: April 27, 2026, 11:12 p.m.