Triple
T24719534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kawagoe Festival |
E612256
|
entity |
| Predicate | floatDecoration |
P157029
|
FINISHED |
| Object | lanterns |
—
|
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: lanterns | Statement: [Kawagoe Festival, floatDecoration, lanterns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: floatDecoration Context triple: [Kawagoe Festival, floatDecoration, lanterns]
-
A.
floatDecoration
chosen
Indicates that one entity is used as a floating decorative element associated with or displayed alongside another entity.
-
B.
valorDecoration
Indicates that an entity has been awarded a decoration or honor specifically in recognition of acts of valor or bravery.
-
C.
floatType
Indicates that an entity has a specific floating-point data type or is categorized as a floating-point numeric value.
-
D.
freeFloatAdjustment
Indicates an adjustment made to account for the portion of shares that are freely tradable (free float), typically modifying a value or metric based on the free-float share base.
-
E.
relatedDecoration
Indicates that one decoration is associated with, complements, or is contextually linked to another decoration.
- 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_69e2d7d6e7a48190bb43b0d8bb1137a0 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442a977b08190b44eac040cb90211 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 3:40 a.m.