Triple
T25643644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabrovizza |
E642897
|
entity |
| Predicate | countryBorderedNearby |
P25929
|
FINISHED |
| Object | Slovenia |
—
|
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: Slovenia | Statement: [Gabrovizza, countryBorderedNearby, Slovenia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryBorderedNearby Context triple: [Gabrovizza, countryBorderedNearby, Slovenia]
-
A.
borderingCountryNearby
chosen
Indicates that one country is geographically close to, but does not necessarily share a direct land border with, another country.
-
B.
countryBordering
Indicates that one country shares a land or maritime boundary directly with another country.
-
C.
borderingCountryOfState
Indicates that one country shares a land or maritime boundary directly with the specified state.
-
D.
countryBorderProximity
Indicates that one country is geographically close to or directly bordering another country.
-
E.
borderingCountryOfRegion
Indicates that a country shares a land or maritime border with a specified geographic region.
- 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_69e77e7ce28081908b08d65ee6e5c8be |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 21, 2026, 5:48 p.m.