Triple
T5796696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derby della Capitale |
E128523
|
entity |
| Predicate | hasHomeColorsTeam |
P31259
|
FINISHED |
| Object | A.S. Roma – maroon and orange |
—
|
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: A.S. Roma – maroon and orange | Statement: [Derby della Capitale, hasHomeColorsTeam, A.S. Roma – maroon and orange]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHomeColorsTeam Context triple: [Derby della Capitale, hasHomeColorsTeam, A.S. Roma – maroon and orange]
-
A.
homeTeamColors
chosen
Indicates the colors associated with the home team in a sporting event or competition.
-
B.
hasHomeUniformTrimColor
Indicates that an entity’s home uniform features a specified trim or accent color.
-
C.
hasHomeJerseyColor
Indicates that an entity’s home jersey is characterized by a specified color.
-
D.
teamColor
Indicates the association between a team and the color that represents or identifies it.
-
E.
introducedTeamColor
Indicates that an entity is responsible for introducing or establishing a particular team color for a team or group.
- 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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b1304588190b59a18fb7b70a60f |
completed | March 22, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69c021d477008190946113f9859eeb90 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:51 p.m.