Triple
T26575691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colonia Carlos Pellegrini |
E666941
|
entity |
| Predicate | hasPrimaryAccessFunction |
P107127
|
FINISHED |
| Object | entrance to Iberá Wetlands |
—
|
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: entrance to Iberá Wetlands | Statement: [Colonia Carlos Pellegrini, hasPrimaryAccessFunction, entrance to Iberá Wetlands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryAccessFunction Context triple: [Colonia Carlos Pellegrini, hasPrimaryAccessFunction, entrance to Iberá Wetlands]
-
A.
hasPrimaryAccessType
Indicates that an entity is associated with its main or default mode or category of access.
-
B.
hasPrimaryAccessRole
Indicates that an entity is assigned the main or most authoritative access role governing its permissions or privileges.
-
C.
hasPrimaryAccessFrom
chosen
Indicates that one entity serves as the main or preferred point of access or entry to another entity.
-
D.
hasPrimaryFunction
Indicates that one entity serves as the main or principal function or role of another entity.
-
E.
hasAccessFunction
Indicates that one entity is associated with a function or mechanism that enables access to another entity or resource.
- 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_69ee9cfa21c081909e4e36e087debfc6 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69fd2839880c819099a7a89783f2270e |
completed | May 8, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69fd23dc5da48190ae8ba08947d34956 |
completed | May 7, 2026, 11:44 p.m. |
Created at: April 27, 2026, 2 a.m.