Triple
T1946254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lezginka (Azerbaijani variant) |
E42060
|
entity |
| Predicate | hasFormation |
P169
|
FINISHED |
| Object | solo 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: solo dance | Statement: [Lezginka (Azerbaijani variant), hasFormation, solo dance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormation Context triple: [Lezginka (Azerbaijani variant), hasFormation, solo dance]
-
A.
hasFormulation
Indicates that one entity is expressed, prepared, or configured in a particular form or composition defined by another entity.
-
B.
isMajorFormation
Indicates that something constitutes a primary or principal structural unit or phase within a larger system, sequence, or process.
-
C.
hasForm
chosen
Indicates that one entity possesses, exhibits, or is characterized by a particular shape, structure, or configuration.
-
D.
hasTraditionalFormIn
Indicates that something possesses a customary or historically established form or representation within a specified context, system, or location.
-
E.
influencedFormationOf
Indicates that one entity played a significant role in shaping, initiating, or contributing to the development or establishment of another entity.
- 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_69a8870e08fc8190a319cbf2600db15f |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb32ebae881908f7541301f0198ae |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abaff25a588190bb4cbc8df9fc6d64 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.