Triple
T31945610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sur les lagunes (in G minor) |
E815642
|
entity |
| Predicate | cycleTotalSongsInLesNuitsDété |
P178634
|
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: [Sur les lagunes (in G minor), cycleTotalSongsInLesNuitsDété, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cycleTotalSongsInLesNuitsDété Context triple: [Sur les lagunes (in G minor), cycleTotalSongsInLesNuitsDété, 6]
-
A.
cycleNumberInLesNuitsDété
Indicates the specific numbered position of a song within the cycle "Les Nuits d'été."
-
B.
hasSongCycle
Indicates that one entity (typically a musical work or collection) includes or is associated with a specific song cycle as part of its structure or content.
-
C.
cycleBy
Indicates that one entity moves or travels by means of riding a bicycle (or similar cycle) in relation to another entity or context.
-
D.
cycleWith
Indicates that two or more entities participate together in a cycling activity, such as riding bicycles along the same route or at the same time.
-
E.
cycleNumberInDichterliebe
Indicates the specific position or sequence number that a given item occupies within the song cycle "Dichterliebe."
- 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_69f348f42d188190a33fc8d20ec50517 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7117e55908190a67105e92bc4830f |
completed | May 3, 2026, 9:12 a.m. |
| PD | Predicate disambiguation | batch_69f70f380690819090cc34763ba460ed |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f7117cf2188190b29e36fc1e342c60 |
completed | May 3, 2026, 9:12 a.m. |
Created at: May 1, 2026, 12:06 a.m.