Triple
T2611559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teusaquillo |
E58784
|
entity |
| Predicate | hasRecreationalRole |
P5383
|
FINISHED |
| Object | area for sports and leisure in Bogotá |
—
|
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: area for sports and leisure in Bogotá | Statement: [Teusaquillo, hasRecreationalRole, area for sports and leisure in Bogotá]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRecreationalRole Context triple: [Teusaquillo, hasRecreationalRole, area for sports and leisure in Bogotá]
-
A.
hasRecreationalArea
chosen
Indicates that an entity includes, provides, or is associated with a designated space intended for leisure or recreational activities.
-
B.
hasRecreationActivity
Indicates that an entity provides, includes, or is associated with a particular recreational activity.
-
C.
hasRecreationalOrganization
Indicates that an entity is associated with, or hosts, a recreational organization such as a club, team, or leisure group.
-
D.
hasRecreationType
Indicates that an entity is associated with or offers a particular type or category of recreational activity.
-
E.
hasRecreationalRoute
Indicates that an entity is associated with or includes a route intended for recreational activities such as walking, cycling, or hiking.
- 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_69ab4ac3523881909679750c9f8c2dec |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd89325308190985598373eb0d296 |
completed | March 7, 2026, 7:49 a.m. |
| PD | Predicate disambiguation | batch_69abd80cd7fc81909e9696db2919129f |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:50 p.m.