Triple
T5312720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bacup Britannia Morris Men |
E119071
|
entity |
| Predicate | hasTypeOfDance |
P24698
|
FINISHED |
| Object | processional dance |
—
|
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: processional dance | Statement: [Bacup Britannia Morris Men, hasTypeOfDance, processional dance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfDance Context triple: [Bacup Britannia Morris Men, hasTypeOfDance, processional dance]
-
A.
hasTraditionalDance
chosen
Indicates that an entity is associated with, practices, or possesses a specific traditional dance.
-
B.
hasDanceQuality
Indicates that something possesses a particular characteristic or attribute related to dance, such as style, skill, or expressive quality.
-
C.
hasDanceChoreography
Indicates that an entity is associated with or characterized by a specific dance choreography.
-
D.
hasDanceEnsemble
Indicates that an entity is associated with or includes a particular dance ensemble as part of its activities or composition.
-
E.
hasDanceSequences
Indicates that the subject contains or features one or more dance sequences as part of its content or activity.
- 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_69bd446b57bc8190a513d2e6c40314f3 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd86f20f008190be7b5848af05f2b8 |
completed | March 20, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69bd84534f9c8190bc19d4812060768d |
completed | March 20, 2026, 5:30 p.m. |
Created at: March 20, 2026, 1:54 p.m.