Triple
T2374493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campeche |
E46164
|
entity |
| Predicate | hasCityColorScheme |
P29272
|
FINISHED |
| Object | multicolored facades |
—
|
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: multicolored facades | Statement: [Campeche, hasCityColorScheme, multicolored facades]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCityColorScheme Context triple: [Campeche, hasCityColorScheme, multicolored facades]
-
A.
hasColourScheme
chosen
Indicates that an entity is associated with a particular set or pattern of colors used in its design or appearance.
-
B.
hasCityDesignatedAs
Indicates that an entity has a specific city formally assigned or designated to it in a particular role or capacity.
-
C.
mapColor
Indicates a relationship where a map region or area is assigned or associated with a specific color, typically for visualization or categorization purposes.
-
D.
coversCity
Indicates that one entity extends over, includes, or geographically encompasses the area of a specified city.
-
E.
hasRouteColorStandard
Indicates that a route is associated with a standardized color designation used for identification or classification.
- 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_69a88a145268819083e2736cb835c696 |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abca4d89248190be7d712d5fa8382b |
completed | March 7, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69abc59d82f08190b7c36982d1ae783d |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:56 p.m.