Triple
T4774930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ordem e Progresso |
E106020
|
entity |
| Predicate | hasColorOfLetters |
P34374
|
FINISHED |
| Object | green |
—
|
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 | Statement: [Ordem e Progresso, hasColorOfLetters, green]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColorOfLetters Context triple: [Ordem e Progresso, hasColorOfLetters, green]
-
A.
lineLetterColorStandard
chosen
Indicates the standard or default color assigned to the letter representation of a particular line.
-
B.
hasColorSymbol
Indicates that one entity is associated with another entity that serves as its representative or symbolic color.
-
C.
signatureColor
Indicates that an entity has a characteristic or defining color that is uniquely or primarily associated with it.
-
D.
capeColor
Indicates the color attribute associated with a cape worn or possessed by an entity.
-
E.
hasLetter
Indicates that one entity contains, includes, or is associated with a specific letter or character.
- 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_69bd43f3074c8190937e7b0a457fe9f1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6584481081908f1041a8827e0b42 |
completed | March 20, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69bd6229d8448190a271719e5e30fd82 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:21 p.m.