Triple
T12722953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akita Kanto Festival |
E304029
|
entity |
| Predicate | balancingBodyParts |
P106577
|
FINISHED |
| Object | palm |
—
|
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: palm | Statement: [Akita Kanto Festival, balancingBodyParts, palm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: balancingBodyParts Context triple: [Akita Kanto Festival, balancingBodyParts, palm]
-
A.
typicalBodyPart
Indicates that one entity is a body part that is characteristically or normally associated with another entity.
-
B.
upperBody
Indicates that one entity represents or corresponds to the upper body portion of another entity.
-
C.
seatOfBody
Indicates that one entity serves as the physical location or base where another entity (typically an organization or authority) is situated or headquartered.
-
D.
supportingBody
Indicates that one entity serves as a supporting or backing body for another entity, providing endorsement, resources, or structural support.
-
E.
hasLimb
Indicates that an entity possesses a specific limb as part of its body.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96403957c81909acdee7bdae71696 |
completed | April 10, 2026, 8:56 p.m. |
| PDg | Predicate description generation | batch_69d96d87078c819083ea724238992204 |
completed | April 10, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:24 p.m.