Triple
T8107862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seguidilla (Près des remparts de Séville) |
E189270
|
entity |
| Predicate | firstPerformanceOperaYear |
P80493
|
FINISHED |
| Object | 1875 |
—
|
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: 1875 | Statement: [Seguidilla (Près des remparts de Séville), firstPerformanceOperaYear, 1875]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPerformanceOperaYear Context triple: [Seguidilla (Près des remparts de Séville), firstPerformanceOperaYear, 1875]
-
A.
firstPerformanceOpera
Indicates the relationship in which an opera work is presented in its first-ever performance.
-
B.
firstPerformanceAt
Indicates the location or event at which an entity (such as a work or performance) was first performed.
-
C.
firstEnglishPerformanceYear
Indicates the year in which the entity’s first performance in English took place.
-
D.
firstPerformanceBy
Indicates that the referenced performance is the earliest or debut performance carried out by the specified entity.
-
E.
operaAdaptationPremiereYear
Indicates the year in which an opera adaptation of a work was first premiered.
- 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_69ca82b9d5848190a24672775d5c5011 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42fa40e08190955fccec1a28eb34 |
completed | March 31, 2026, 3:43 a.m. |
| PD | Predicate disambiguation | batch_69cb04a2ed1c8190b73562321ad688bc |
completed | March 30, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69cb14be17208190bb51c3dfcb613f20 |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:32 p.m.