Triple
T6720192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mid-Autumn Festival celebrations |
E153373
|
entity |
| Predicate | featureObject |
P54721
|
FINISHED |
| Object | paper 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: paper lanterns | Statement: [Mid-Autumn Festival celebrations, featureObject, paper lanterns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featureObject Context triple: [Mid-Autumn Festival celebrations, featureObject, paper lanterns]
-
A.
featuresFigureOf
Indicates that one entity includes or presents another entity as a figure, illustration, or visual element.
-
B.
sceneFeature
Indicates a characteristic, element, or attribute that is present within or helps define a particular scene.
-
C.
featuresItem
chosen
Indicates that one entity includes, presents, or highlights another entity as a notable item or component.
-
D.
featureType
Indicates the specific kind or category of feature that characterizes or distinguishes an entity.
-
E.
featuredElement
Indicates that one element is highlighted or given special prominence relative to others in a given context.
- 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_69c68809b4608190a2509ddb5ab87f05 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d137084881908e04ee6b2bd45585 |
completed | March 27, 2026, 6:49 p.m. |
| PD | Predicate disambiguation | batch_69c6d08c5d348190a29dee668c398e70 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:07 p.m.