Triple
T30765544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Catholic Diocese of Arica |
E783356
|
entity |
| Predicate | borderingCountryInTerritory |
P93239
|
FINISHED |
| Object | Peru |
—
|
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: Peru | Statement: [Roman Catholic Diocese of Arica, borderingCountryInTerritory, Peru]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderingCountryInTerritory Context triple: [Roman Catholic Diocese of Arica, borderingCountryInTerritory, Peru]
-
A.
borderingCountryOfTerritory
chosen
Indicates that one country shares a land or maritime boundary with the specified territory.
-
B.
borderingCountryOfState
Indicates that one country shares a land or maritime boundary directly with the specified state.
-
C.
borderingAuthorityOf
Indicates that one authority’s jurisdiction directly touches or shares a boundary with another authority’s jurisdiction.
-
D.
borderingCountryOfRegion
Indicates that a country shares a land or maritime border with a specified geographic region.
-
E.
borderingCountryOfItsProvince
Indicates that one country shares a land border with the country to which a given province belongs.
- 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_69f224b047f48190b4f5efeb7ee97b37 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe920a437081908d5174e8cf7a53a6 |
completed | May 9, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69fe919a9a6c8190acb4483f386e6db7 |
completed | May 9, 2026, 1:44 a.m. |
Created at: April 29, 2026, 8:40 p.m.