Triple
T7027162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intercontinental Derby |
E163176
|
entity |
| Predicate | mainColorOfOneClub |
P4834
|
FINISHED |
| Object | yellow and red (Galatasaray) |
—
|
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: yellow and red (Galatasaray) | Statement: [Intercontinental Derby, mainColorOfOneClub, yellow and red (Galatasaray)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainColorOfOneClub Context triple: [Intercontinental Derby, mainColorOfOneClub, yellow and red (Galatasaray)]
-
A.
supportersColor
Indicates that a group of supporters is associated with, identified by, or represented using a particular color.
-
B.
clubColorsMeaning
Indicates the symbolic significance or intended message conveyed by a club’s official colors.
-
C.
teamColor
chosen
Indicates the association between a team and the color that represents or identifies it.
-
D.
teamColorContext
Indicates the contextual or situational association between a team and its designated color.
-
E.
homeTeamColors
Indicates the colors associated with the home team in a sporting event or competition.
- 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_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e458ad9c81908c3f492b317ce291 |
completed | March 27, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69c6e1b9a2488190aea351d96afa5a12 |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:35 p.m.