Triple
T17286552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of the Philippines |
E419668
|
entity |
| Predicate | raysSymbolize |
P129
|
FINISHED |
| Object | first eight provinces that revolted against Spain |
—
|
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: first eight provinces that revolted against Spain | Statement: [Coat of arms of the Philippines, raysSymbolize, first eight provinces that revolted against Spain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raysSymbolize Context triple: [Coat of arms of the Philippines, raysSymbolize, first eight provinces that revolted against Spain]
-
A.
mapSymbol
Indicates a correspondence where one symbol is used to represent, stand for, or denote another element within a mapping or representation system.
-
B.
towersSymbolize
Indicates that towers serve as symbols representing particular ideas, values, or concepts.
-
C.
mapSymbolStandard
Indicates that a map symbol conforms to, or is defined according to, a particular cartographic standard or specification.
-
D.
symbolizes
chosen
Indicates that one entity stands for, represents, or is used as a sign for another entity, concept, or idea.
-
E.
symbolizedIn
Indicates that one entity serves as a symbol or representation of another entity.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e4378024988190aac6aec006f8f7a1 |
completed | April 19, 2026, 2:01 a.m. |
| PD | Predicate disambiguation | batch_69e3b0118ad08190b119cd219c68ba67 |
completed | April 18, 2026, 4:23 p.m. |
Created at: April 10, 2026, 5:40 a.m.