Triple
T6785569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reog Ponorogo |
E155793
|
entity |
| Predicate | maskWeight |
P1575
|
FINISHED |
| Object | up to 50 kilograms |
—
|
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: up to 50 kilograms | Statement: [Reog Ponorogo, maskWeight, up to 50 kilograms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maskWeight Context triple: [Reog Ponorogo, maskWeight, up to 50 kilograms]
-
A.
maskColor
Indicates the color attribute associated with a mask.
-
B.
typicalMaskType
Indicates the kind or category of mask that is most commonly or characteristically used or associated with an entity.
-
C.
maskDesigner
Indicates that one entity is the designer or creator of a particular mask associated with another entity.
-
D.
traditionalMaskType
Indicates the specific kind or category of traditional mask associated with an entity.
-
E.
weight
chosen
Indicates a relationship where a numerical value quantifies how heavy an entity is, often used to measure or compare mass or load.
- 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d28de0348190998751fd546bfd02 |
completed | March 27, 2026, 6:55 p.m. |
| PD | Predicate disambiguation | batch_69c6d0979ce0819094678896da4e3169 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:14 p.m.