Triple
T12274173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monumental de Colo-Colo |
E292546
|
entity |
| Predicate | homeColorsDominant |
P104176
|
FINISHED |
| Object | white |
—
|
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: white | Statement: [Monumental de Colo-Colo, homeColorsDominant, white]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeColorsDominant Context triple: [Monumental de Colo-Colo, homeColorsDominant, white]
-
A.
familyColor
Indicates that two entities share the same family-associated color or that one entity has a color characteristic of its family group.
-
B.
buildingColor
Indicates the color or predominant exterior hue associated with a building.
-
C.
traditionalHomeColor
Indicates the customary or historically typical color associated with a home in a given cultural or regional tradition.
-
D.
traditionalHomeShortsColor
Indicates the typical or customary color of the home team’s shorts in a traditional or standard uniform set.
-
E.
hasHouseColor
Indicates that an entity possesses a house whose exterior is characterized by a specific color.
- F. None of above. chosen
Provenance (4 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d9380a5e78819086bd4dfe9a83d1f5 |
completed | April 10, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69d91c4a66cc819083ce6fcaf5042af6 |
completed | April 10, 2026, 3:50 p.m. |
| PDg | Predicate description generation | batch_69d93805cee08190a532ebcf5908e617 |
completed | April 10, 2026, 5:48 p.m. |
Created at: April 8, 2026, 9:52 p.m.