Triple
T12338801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Izamal |
E294163
|
entity |
| Predicate | hasBuildingColorScheme |
P29272
|
FINISHED |
| Object | predominantly yellow façades |
—
|
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: predominantly yellow façades | Statement: [Izamal, hasBuildingColorScheme, predominantly yellow façades]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBuildingColorScheme Context triple: [Izamal, hasBuildingColorScheme, predominantly yellow façades]
-
A.
hasColourScheme
chosen
Indicates that an entity is associated with a particular set or pattern of colors used in its design or appearance.
-
B.
buildingColor
Indicates the color or predominant exterior hue associated with a building.
-
C.
hasHouseColor
Indicates that an entity possesses a house whose exterior is characterized by a specific color.
-
D.
façadeColorScheme
Indicates the relationship specifying the color arrangement or palette applied to the exterior façade of a structure.
-
E.
hasRoofColor
Indicates that an entity possesses a roof whose color is the specified value.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f678698819091462b44ff3435f6 |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ecb5efc819086a3530282278bb1 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.