Triple
T35106399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Stars and a Sun |
E1013163
|
entity |
| Predicate | hasComponentSymbol |
P133459
|
FINISHED |
| Object | three stars |
—
|
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: three stars | Statement: [Three Stars and a Sun, hasComponentSymbol, three stars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasComponentSymbol Context triple: [Three Stars and a Sun, hasComponentSymbol, three stars]
-
A.
hasSymbolFor
chosen
Indicates that one entity serves as the symbolic representation or sign for another entity.
-
B.
hasComponentGivenName
Indicates that an entity includes a component whose specific given (first) name is the value of the predicate.
-
C.
hasComponentCharacter
Indicates that one entity includes another entity as a constituent character or symbolic component.
-
D.
hasMainSymbol
Indicates that one entity is designated as the primary or most representative symbol associated with another entity.
-
E.
hasComponentProgram
Indicates that one program includes or is composed of another program as a component or sub-program.
- 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.