Triple
T1564054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chocontá |
E33391
|
entity |
| Predicate | hasColonialArchitecture |
P29482
|
FINISHED |
| Object | Yes |
—
|
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: Yes | Statement: [Chocontá, hasColonialArchitecture, Yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColonialArchitecture Context triple: [Chocontá, hasColonialArchitecture, Yes]
-
A.
hasColonialInfrastructure
Indicates that one entity possesses or is characterized by infrastructure established or developed during a period of colonial rule by another entity.
-
B.
hasColonialUrbanLayout
Indicates that an urban area’s spatial organization and street pattern follow a design imposed during a colonial period, reflecting colonial planning principles and control.
-
C.
hasColonialHistoryWith
Indicates that one entity has a historical relationship of colonization or being colonized involving the other entity.
-
D.
hasColonialTheatre
Indicates that an entity possesses or includes a colonial-style theatre as part of its features or facilities.
-
E.
hasColonialName
Indicates that an entity is known by, or has been assigned, a name originating from a colonial power or colonial period.
- 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_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90fccd4b48190a44012888a00af7f |
completed | March 5, 2026, 5:08 a.m. |
| PD | Predicate disambiguation | batch_69a907b872f0819096b3df6ad502c63e |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a90fcb8ca48190a9ee50559ba73b22 |
completed | March 5, 2026, 5:08 a.m. |
Created at: March 4, 2026, 7:27 p.m.