Triple
T1946259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lezginka (Azerbaijani variant) |
E42060
|
entity |
| Predicate | hasCharacteristicStep |
P274
|
FINISHED |
| Object | quick heel and toe work |
—
|
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: quick heel and toe work | Statement: [Lezginka (Azerbaijani variant), hasCharacteristicStep, quick heel and toe work]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCharacteristicStep Context triple: [Lezginka (Azerbaijani variant), hasCharacteristicStep, quick heel and toe work]
-
A.
hasCharacteristic
chosen
Indicates that an entity possesses, exhibits, or is defined by a particular attribute, feature, or quality.
-
B.
hasStep
Indicates that one entity includes, is composed of, or is associated with a specific step or stage in a process involving another entity.
-
C.
hasPlanningCharacteristic
Indicates that an entity possesses a specific feature, quality, or attribute related to planning activities or processes.
-
D.
hasStepchildren
Indicates that one person has stepchildren, meaning children of their spouse or partner from a previous relationship.
-
E.
hasStepSibling
Indicates that one person is the step-sibling of another, meaning they are related through the marriage of their parents rather than by blood or adoption.
- 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.