Triple
T16756549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amman derby |
E407220
|
entity |
| Predicate | featuresClubColor |
P4834
|
FINISHED |
| Object | green of Al-Wehdat |
—
|
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: green of Al-Wehdat | Statement: [Amman derby, featuresClubColor, green of Al-Wehdat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresClubColor Context triple: [Amman derby, featuresClubColor, green of Al-Wehdat]
-
A.
mainColorOfAnotherClub
Indicates that one club’s primary color is the same as, or serves as, the main identifying color for another club.
-
B.
teamColor
chosen
Indicates the association between a team and the color that represents or identifies it.
-
C.
primaryClubColorsVisible
Indicates that the primary colors associated with a club are clearly visible or prominently displayed.
-
D.
teamColorContext
Indicates the contextual or situational association between a team and its designated color.
-
E.
supportersColor
Indicates that a group of supporters is associated with, identified by, or represented using a particular color.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3abe94cc0819099b05cd205d368c5 |
completed | April 18, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69e319cbd79c8190a03587a61c18bec0 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:21 a.m.