Triple
T8192816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bogotá–Mosquera highway |
E191353
|
entity |
| Predicate | roleInUrbanStructure |
P8652
|
FINISHED |
| Object | links Bogotá with its western commuter belt |
—
|
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: links Bogotá with its western commuter belt | Statement: [Bogotá–Mosquera highway, roleInUrbanStructure, links Bogotá with its western commuter belt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInUrbanStructure Context triple: [Bogotá–Mosquera highway, roleInUrbanStructure, links Bogotá with its western commuter belt]
-
A.
roleInUrbanPlan
Indicates the specific function, responsibility, or position an entity holds within an urban planning context or scheme.
-
B.
hasUrbanRole
Indicates that an entity plays a specific functional or social role within an urban or city context.
-
C.
urbanRole
chosen
Indicates the function, status, or role that an entity holds within an urban or city context.
-
D.
roleAsPlace
Indicates that an entity functions or is used as a place or location in relation to another entity or event.
-
E.
withinUrbanArea
Indicates that one entity is located inside the spatial boundaries of an urban area associated with another entity.
- 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_69ca82c5b6948190a583c096fb0a6c71 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb5c1d7aa48190adbbce88b3bed1a3 |
completed | March 31, 2026, 5:31 a.m. |
| PD | Predicate disambiguation | batch_69cb36aac86081909b83636e352e0ced |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:42 p.m.