Triple
T19020967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medina of Marrakesh |
E465482
|
entity |
| Predicate | colorNickName |
P68786
|
FINISHED |
| Object | Red City core |
—
|
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: Red City core | Statement: [Medina of Marrakesh, colorNickName, Red City core]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorNickName Context triple: [Medina of Marrakesh, colorNickName, Red City core]
-
A.
kitColorsNickname
Indicates that a particular kit color scheme is associated with or referred to by a specific nickname.
-
B.
colorDesignationInName
chosen
Indicates that a color term is explicitly included as part of an entity’s name or title.
-
C.
codenameColor
Indicates that an entity’s codename is associated with or represented by a specific color.
-
D.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
E.
nicknameCategory
Indicates that one entity is a nickname and the other entity is the category or type that this nickname belongs to.
- 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6de93408190a98dea2319f1af62 |
completed | April 20, 2026, 7:33 a.m. |
| PD | Predicate disambiguation | batch_69e4a2fd80c081908237317a3a883e1c |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:02 p.m.