Triple
T26925112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colour Production |
E677754
|
entity |
| Predicate | roleInColoursOfOstrava |
P65114
|
FINISHED |
| Object | organizer |
—
|
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: organizer | Statement: [Colour Production, roleInColoursOfOstrava, organizer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInColoursOfOstrava Context triple: [Colour Production, roleInColoursOfOstrava, organizer]
-
A.
colorBlueInPolish
Indicates that the entity’s color is blue as expressed in the Polish language.
-
B.
colourRole
chosen
Indicates that one entity serves a specific functional or contextual role defined in terms of colour in relation to another entity.
-
C.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
D.
clubColoursReflected
Indicates that the club’s official colours are visibly represented or mirrored in the referenced object or context.
-
E.
cereColor
Indicates that one entity specifies or denotes the color of another entity’s cere (the fleshy area above a bird’s beak).
- 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_69eee9bdebc48190ba90a12a63e09c73 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69fccdd496048190bca801a8a9eecb62 |
completed | May 7, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
Created at: April 27, 2026, 6:09 a.m.