Triple
T9430364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Symphony No. 6 in B minor, Op. 74 "Pathétique" |
E227358
|
entity |
| Predicate | ordinalInComposerSymphonies |
P69302
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [Symphony No. 6 in B minor, Op. 74 "Pathétique", ordinalInComposerSymphonies, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ordinalInComposerSymphonies Context triple: [Symphony No. 6 in B minor, Op. 74 "Pathétique", ordinalInComposerSymphonies, 6]
-
A.
orderInComposerSymphonies
chosen
Indicates the sequential position that a particular symphony occupies within the complete set of symphonies composed by a given composer.
-
B.
numberOfSymphonies
Indicates the total count of symphonies associated with a given entity.
-
C.
oneOfLongestSymphonies
Indicates that the subject is among the longest symphonies in terms of duration or number of movements.
-
D.
partOfComposerOeuvre
Indicates that a musical work belongs to and is included within the overall body of compositions created by a particular composer.
-
E.
workNumberInMahlerSymphonies
Indicates the specific numbered position a work occupies within the sequence of Mahler’s symphonies.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7e5ed7408190beda5fb078e9345a |
completed | April 1, 2026, 8:21 p.m. |
| PD | Predicate disambiguation | batch_69cca55548488190b171ae695a3212de |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:49 p.m.