Triple
T19363990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dundee derby |
E484352
|
entity |
| Predicate | associatedColourOfDundeeUnited |
P65875
|
FINISHED |
| Object | tangerine |
—
|
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: tangerine | Statement: [Dundee derby, associatedColourOfDundeeUnited, tangerine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedColourOfDundeeUnited Context triple: [Dundee derby, associatedColourOfDundeeUnited, tangerine]
-
A.
associatedColor_ACMilan
Indicates that there is a color that is characteristically or officially linked to AC Milan.
-
B.
mainColorOfAnotherClub
Indicates that one club’s primary color is the same as, or serves as, the main identifying color for another club.
-
C.
associatedColorOfColoColo
Indicates that a specified color is associated with the Colo Colo entity (e.g., as its representative or identifying color).
-
D.
supportersColor
Indicates that a group of supporters is associated with, identified by, or represented using a particular color.
-
E.
associatedColour
chosen
Indicates that one entity is linked to another as its characteristic or representative colour.
- 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e619a9ac68819082cf9deadf526156 |
completed | April 20, 2026, 12:18 p.m. |
| PD | Predicate disambiguation | batch_69e4fd54f8e48190956e73dd8969164a |
completed | April 19, 2026, 4:05 p.m. |
Created at: April 10, 2026, 1:34 p.m.