Triple
T13967005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derby della Madonnina |
E335950
|
entity |
| Predicate | associatedColor_ACMilan |
P111978
|
FINISHED |
| Object | red and black |
—
|
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: red and black | Statement: [Derby della Madonnina, associatedColor_ACMilan, red and black]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedColor_ACMilan Context triple: [Derby della Madonnina, associatedColor_ACMilan, red and black]
-
A.
mainColorOfAnotherClub
Indicates that one club’s primary color is the same as, or serves as, the main identifying color for another club.
-
B.
associatedColorOfColoColo
Indicates that a specified color is associated with the Colo Colo entity (e.g., as its representative or identifying color).
-
C.
PSGMainColors
Indicates the primary official colors associated with Paris Saint-Germain (PSG).
-
D.
supportersColor
Indicates that a group of supporters is associated with, identified by, or represented using a particular color.
-
E.
inspiredByClubColorsOf
Indicates that something derives its design, appearance, or theme from the colors associated with a particular club.
- F. None of above. chosen
Provenance (4 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8c9e988190a84c9ca8a78b515f |
completed | April 14, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69dd465a21408190b912a42c50ffa0d9 |
completed | April 13, 2026, 7:39 p.m. |
| PDg | Predicate description generation | batch_69de01ed2098819088ec45069f6f2609 |
completed | April 14, 2026, 8:59 a.m. |
Created at: April 9, 2026, 10:18 p.m.