Triple
T28262626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flower Song |
E712620
|
entity |
| Predicate | firstPerformanceOperaLocation |
P85804
|
FINISHED |
| Object | Opéra-Comique, Paris |
—
|
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: Opéra-Comique, Paris | Statement: [Flower Song, firstPerformanceOperaLocation, Opéra-Comique, Paris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPerformanceOperaLocation Context triple: [Flower Song, firstPerformanceOperaLocation, Opéra-Comique, Paris]
-
A.
firstPerformanceOpera
Indicates the relationship in which an opera work is presented in its first-ever performance.
-
B.
firstPerformanceInOpera
Indicates that an entity’s first-ever performance occurred in the context of an opera production.
-
C.
firstPerformanceTheatreWithOpera
Indicates that a theatre hosted its first performance that included an opera.
-
D.
firstPerformanceOperaYear
Indicates the year in which an opera was first performed.
-
E.
firstPerformanceCityOfWork
chosen
Indicates the city where a particular work was first performed.
- 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_69efb5216c6881908020dce4aea65381 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69ffe6e2eb688190a45fd2c6415cd86a |
completed | May 10, 2026, 2:01 a.m. |
| PD | Predicate disambiguation | batch_69ffe65939488190a35b9c2e9c7ad868 |
completed | May 10, 2026, 1:58 a.m. |
Created at: April 27, 2026, 11:12 p.m.