Triple
T22338046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O Clássico |
E552201
|
entity |
| Predicate | featuresTeamColor |
P4834
|
FINISHED |
| Object | blue and white (FC Porto) |
—
|
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: blue and white (FC Porto) | Statement: [O Clássico, featuresTeamColor, blue and white (FC Porto)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresTeamColor Context triple: [O Clássico, featuresTeamColor, blue and white (FC Porto)]
-
A.
teamColor
chosen
Indicates the association between a team and the color that represents or identifies it.
-
B.
teamColorContext
Indicates the contextual or situational association between a team and its designated color.
-
C.
teamColorCategory
Indicates the classification of a team according to its associated color or color-based grouping.
-
D.
teamColorOrIdentity
Indicates that a team is associated with a particular color or identifying attribute used to distinguish it from other teams.
-
E.
teamColorsImplied
Indicates that the colors associated with a team are inferred or derived from context rather than explicitly specified.
- 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_69e11e494eec81909c4d2d51f69499d9 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1578184f481908d4ec1737a8a72d4 |
completed | April 29, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e7300c20088190a59e5bf9e70384f3 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:43 p.m.