Triple
T17016847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pwersa ng Masang Pilipino |
E412841
|
entity |
| Predicate | hasPoliticalColorSymbolism |
P125518
|
FINISHED |
| Object | green symbolizes reform and hope |
—
|
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: green symbolizes reform and hope | Statement: [Pwersa ng Masang Pilipino, hasPoliticalColorSymbolism, green symbolizes reform and hope]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPoliticalColorSymbolism Context triple: [Pwersa ng Masang Pilipino, hasPoliticalColorSymbolism, green symbolizes reform and hope]
-
A.
nationalColorsRepresented
Indicates that the national colors of an entity are visibly included or symbolically expressed in another entity or context.
-
B.
starColorSymbolism
Indicates how the color of a star is associated with particular symbolic meanings or themes.
-
C.
primaryColorSymbolism
Indicates how a primary color is symbolically associated with particular meanings, emotions, or concepts in a given context.
-
D.
hasColorSymbol
Indicates that one entity is associated with another entity that serves as its representative or symbolic color.
-
E.
flagDesignSymbolism
Indicates the symbolic meanings or concepts represented by elements in a flag’s design.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d47fec248190bf261cac920291b1 |
completed | April 18, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69e35d5be7f48190af9db67a1e23850f |
completed | April 18, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69e3753f93c88190808fec5692f66699 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:33 a.m.