Triple
T10237035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Franja |
E243489
|
entity |
| Predicate | associatedWithKitFeature |
P56313
|
FINISHED |
| Object | diagonal stripe on jersey |
—
|
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: diagonal stripe on jersey | Statement: [La Franja, associatedWithKitFeature, diagonal stripe on jersey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithKitFeature Context triple: [La Franja, associatedWithKitFeature, diagonal stripe on jersey]
-
A.
appliesToFeature
Indicates that something (such as a rule, constraint, or configuration) is relevant to, or governs, a specific feature.
-
B.
associatedCapability
Indicates that one entity has a related ability, function, or competence that is linked to or relevant for another entity.
-
C.
associatedWithSetting
Indicates that one entity is connected or linked to a particular context, environment, or setting in which it occurs or is relevant.
-
D.
featureLinked
chosen
Indicates that one feature is associated or connected to another feature in a meaningful or dependent way.
-
E.
associatedWithMode
Indicates a relationship in which something is linked or connected to a particular mode, method, or manner of operation or behavior.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d23b620c8190b8a72d0eb0d16b93 |
completed | April 7, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69d4d1e9798c8190b437d53d48554ba1 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:22 a.m.