Triple
T3377481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prydonian Chapter |
E71099
|
entity |
| Predicate | traditionalColour |
P31069
|
FINISHED |
| Object | scarlet |
—
|
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: scarlet | Statement: [Prydonian Chapter, traditionalColour, scarlet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalColour Context triple: [Prydonian Chapter, traditionalColour, scarlet]
-
A.
traditionalHomeColor
Indicates the customary or historically typical color associated with a home in a given cultural or regional tradition.
-
B.
hasTraditionalColors
chosen
Indicates that an entity is associated with colors that are traditionally or customarily linked to it.
-
C.
primaryColour
Indicates that one entity is the main or dominant color characteristic of another entity.
-
D.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
E.
traditionalHomeShortsColor
Indicates the typical or customary color of the home team’s shorts in a traditional or standard uniform set.
- 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_69ad85a7f80c8190a05e43013f298942 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2e8d1988190b6fb6c4c5502f25f |
completed | March 8, 2026, 5:33 p.m. |
| PD | Predicate disambiguation | batch_69ada433059881908e46f38cc5f40a32 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:13 p.m.