Triple
T25145161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sur le pont d’Avignon |
E629912
|
entity |
| Predicate | danceAction |
P157968
|
FINISHED |
| Object | people dance in a circle while singing |
—
|
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: people dance in a circle while singing | Statement: [Sur le pont d’Avignon, danceAction, people dance in a circle while singing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: danceAction Context triple: [Sur le pont d’Avignon, danceAction, people dance in a circle while singing]
-
A.
danceProp
Indicates that one entity is used or involved as a prop in another entity’s dance performance or dancing activity.
-
B.
danceForm
Indicates that one entity is a style or type of dance associated with the other entity.
-
C.
danceDirection
Indicates the direction or orientation in which the dancing action is performed or moves.
-
D.
danceFeature
Indicates that one entity serves as a notable characteristic, element, or attribute of a dance or dancing-related activity.
-
E.
danceCreated
Indicates that one entity is the creator or choreographer of a particular dance or dance work.
- 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_69e2ff349e408190a6f4a5a66279f54d |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f4684b30a8819088fb9f78020c3e1a |
completed | May 1, 2026, 8:46 a.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
| PDg | Predicate description generation | batch_69f45300bd488190bb1d4160f5534ef6 |
completed | May 1, 2026, 7:15 a.m. |
Created at: April 18, 2026, 6:29 a.m.