Triple
T20557784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garuda Pancasila |
E504765
|
entity |
| Predicate | riceAndCottonSymbolizes |
P140550
|
FINISHED |
| Object | social justice for all Indonesians |
—
|
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: social justice for all Indonesians | Statement: [Garuda Pancasila, riceAndCottonSymbolizes, social justice for all Indonesians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: riceAndCottonSymbolizes Context triple: [Garuda Pancasila, riceAndCottonSymbolizes, social justice for all Indonesians]
-
A.
numberOfRiceStalks
Indicates the quantity or count of rice stalks associated with a given entity or context.
-
B.
riceType
Indicates the specific variety or classification of rice associated with an entity.
-
C.
clothingSymbolism
Indicates how clothing or attire conveys symbolic meaning, such as status, identity, emotion, or cultural significance, within a given context.
-
D.
yieldRelativeToOryza sativa
Indicates the comparative yield performance of an entity relative to that of *Oryza sativa* (cultivated rice).
-
E.
ryotMeans
Indicates that something serves as the meaning, definition, or semantic content of a ryot-related term or concept.
- 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a5df84088190848c7eb35564d8f9 |
completed | April 20, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69e59ff0116c8190a163ff28ed01430a |
completed | April 20, 2026, 3:39 a.m. |
| PDg | Predicate description generation | batch_69e5a6a824748190bbe6192d73f3c613 |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:38 a.m.