Triple
T22691588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venezuela national football team |
E561062
|
entity |
| Predicate | teamColorNicknameOrigin |
P149292
|
FINISHED |
| Object | derived from burgundy-colored kit |
—
|
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: derived from burgundy-colored kit | Statement: [Venezuela national football team, teamColorNicknameOrigin, derived from burgundy-colored kit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamColorNicknameOrigin Context triple: [Venezuela national football team, teamColorNicknameOrigin, derived from burgundy-colored kit]
-
A.
notableTeamNickname
Indicates that a team is commonly known by a particular nickname that is notable or widely recognized.
-
B.
teamNickname
Indicates the commonly used informal or symbolic name by which a team is known.
-
C.
clubColorsMeaning
Indicates the symbolic significance or intended message conveyed by a club’s official colors.
-
D.
teamColorsImplied
Indicates that the colors associated with a team are inferred or derived from context rather than explicitly specified.
-
E.
teamColor
Indicates the association between a team and the color that represents or identifies it.
- 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789adcc48190b4a717166d5dba19 |
completed | April 29, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69ee62b2259c819091ed1387a748b9f3 |
completed | April 26, 2026, 7:08 p.m. |
| PDg | Predicate description generation | batch_69ee8843d3308190b6e22bb98ae5c3d8 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3:13 p.m.