Triple
T34745543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peru–Bolivia border |
E1001625
|
entity |
| Predicate | hasAdjacentPeruvianRegion |
P143707
|
FINISHED |
| Object | Puno Region |
—
|
NE NERFINISHED |
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: Puno Region | Statement: [Peru–Bolivia border, hasAdjacentPeruvianRegion, Puno Region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdjacentPeruvianRegion Context triple: [Peru–Bolivia border, hasAdjacentPeruvianRegion, Puno Region]
-
A.
regionOnPeruSide
Indicates that a region is located on the side of a boundary or border that belongs to or is associated with Peru.
-
B.
regionInPeru
Indicates that a region or area is geographically located within the country of Peru.
-
C.
adjacentToParaguayanDepartment
Indicates that one entity is directly next to or shares a boundary with a department located in Paraguay.
-
D.
hasNearbyProvince
Indicates that one province is geographically close to or directly adjacent to another province.
-
E.
bordersPeruvianRegion
chosen
Indicates that one region shares a land or maritime boundary with a region located in Peru.
- 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_69f76db0367081909b57c50a7fb03025 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fdb04ed81c8190b8feea90c1c785a6 |
completed | May 8, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69fda9d6c5148190a63205b6d9b0a1b4 |
completed | May 8, 2026, 9:16 a.m. |
Created at: May 3, 2026, 3:59 p.m.