Triple
T30072560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahler 10 |
E764224
|
entity |
| Predicate | firstCompletePerformanceOfCookeVersionPlace |
P85804
|
FINISHED |
| Object | London |
—
|
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: London | Statement: [Mahler 10, firstCompletePerformanceOfCookeVersionPlace, London]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstCompletePerformanceOfCookeVersionPlace Context triple: [Mahler 10, firstCompletePerformanceOfCookeVersionPlace, London]
-
A.
firstPerformanceLocationOfWorkAppearingIn
Indicates the location where a work was first performed or premiered.
-
B.
firstUSPerformanceLocation
Indicates the location where an entity was first performed in the United States.
-
C.
firstCompleteEditionPlace
Indicates the place where the first complete edition of a work was published or produced.
-
D.
firstPerformanceBy
Indicates that the referenced performance is the earliest or debut performance carried out by the specified entity.
-
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_69f22472eee081909791dc372aa766e9 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a017e7bdfe481909cb4d5bdede6035e |
completed | May 11, 2026, 7 a.m. |
| PD | Predicate disambiguation | batch_6a017defee108190bdf5f98dc415b250 |
completed | May 11, 2026, 6:57 a.m. |
Created at: April 29, 2026, 7:01 p.m.