Triple
T20557796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garuda Pancasila |
E504765
|
entity |
| Predicate | garudaRepresents |
P72709
|
FINISHED |
| Object | strength |
—
|
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: strength | Statement: [Garuda Pancasila, garudaRepresents, strength]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: garudaRepresents Context triple: [Garuda Pancasila, garudaRepresents, strength]
-
A.
eagleRepresents
chosen
Indicates that an eagle symbolically stands for, embodies, or serves as a representation of another entity, concept, or group.
-
B.
birdRepresents
Indicates that one bird stands for, symbolizes, or serves as a representation of another entity in some context.
-
C.
griffinRepresents
Indicates that a griffin symbolically stands for, embodies, or serves as an emblem of another concept, entity, or idea.
-
D.
animalSymbol
Indicates that one entity serves as a symbolic representation or emblem of the other in the form of an animal.
-
E.
lionSupporterRepresents
Indicates that an entity serves as a representative or advocate for a lion supporter, acting on their behalf or symbolizing their interests.
- 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_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. |
Created at: April 16, 2026, 11:38 a.m.