Triple
T4236039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wycombe Wanderers F.C. |
E94693
|
entity |
| Predicate | traditionalColours |
P31069
|
FINISHED |
| Object | light blue and dark blue |
—
|
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: light blue and dark blue | Statement: [Wycombe Wanderers F.C., traditionalColours, light blue and dark blue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalColours Context triple: [Wycombe Wanderers F.C., traditionalColours, light blue and dark blue]
-
A.
hasTraditionalColors
chosen
Indicates that an entity is associated with colors that are traditionally or customarily linked to it.
-
B.
traditionalHomeColor
Indicates the customary or historically typical color associated with a home in a given cultural or regional tradition.
-
C.
traditionalMotif
Indicates that something incorporates, represents, or is characterized by a motif rooted in established cultural or historical traditions.
-
D.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
E.
nationalColorsRepresented
Indicates that the national colors of an entity are visibly included or symbolically expressed in another entity or context.
- 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_69b34537cc6481909cd0a96acbb33ef7 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e7422a88190955f5f4347fa80d2 |
completed | March 12, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69b347f3bd188190b0cd613e8a5c1683 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:05 p.m.