Triple
T4153869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Club Deportivo Huachipato |
E89969
|
entity |
| Predicate | jerseyPatternColors |
P13373
|
FINISHED |
| Object | blue and black vertical stripes |
—
|
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: blue and black vertical stripes | Statement: [Club Deportivo Huachipato, jerseyPatternColors, blue and black vertical stripes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: jerseyPatternColors Context triple: [Club Deportivo Huachipato, jerseyPatternColors, blue and black vertical stripes]
-
A.
jerseyColorPrimary
Indicates the main or dominant color used on an entity’s jersey or uniform.
-
B.
jerseySecondaryColor
chosen
Indicates the secondary or accent color used on an entity’s jersey.
-
C.
jerseyColorReason
Indicates the reason or basis for why an entity has a particular jersey color.
-
D.
mountainsJerseyColor
Indicates the color of the jersey worn by the leader of the mountains classification (best climber) in a cycling race.
-
E.
jerseyDesignInspiredBy
Indicates that the design of a jersey is based on, influenced by, or derived from another design, theme, or source.
- 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_69aed95a59a881909b26e70b42c6811a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af033ef6648190adde17f943d89c78 |
completed | March 9, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69af018c101081909070da5b11e5eb3d |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:44 p.m.