Triple
T35106409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Stars and a Sun |
E1013163
|
entity |
| Predicate | relatedToMottoOrSlogan |
P176275
|
FINISHED |
| Object | Filipino pride |
—
|
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: Filipino pride | Statement: [Three Stars and a Sun, relatedToMottoOrSlogan, Filipino pride]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedToMottoOrSlogan Context triple: [Three Stars and a Sun, relatedToMottoOrSlogan, Filipino pride]
-
A.
relatedToMotto
Indicates that one entity has an association or connection with a motto, such as embodying, expressing, or being defined by that motto.
-
B.
mottoLinked
Indicates that a motto is associated with or linked to a particular entity.
-
C.
hasMottoOrAssociation
chosen
Indicates a relationship where an entity is linked to a motto, slogan, or associated phrase that represents or characterizes it.
-
D.
associatedWithFamousSlogan
Indicates that an entity is connected to, known for, or commonly linked with a particular famous slogan.
-
E.
sharesMottoWith
Indicates that two entities use or are associated with the same motto.
- 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_69f76dd556248190808b4c4f43debebb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:01 p.m.