Triple
T37937693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vioolsdrif border post |
E946392
|
entity |
| Predicate | adjacentCountryBorderPost |
P194156
|
FINISHED |
| Object | Noordoewer border post |
—
|
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: Noordoewer border post | Statement: [Vioolsdrif border post, adjacentCountryBorderPost, Noordoewer border post]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentCountryBorderPost Context triple: [Vioolsdrif border post, adjacentCountryBorderPost, Noordoewer border post]
-
A.
connectsToBorderPost
Indicates that one entity is linked or leads directly to a border post, establishing a route or connection between them.
-
B.
EUInternalBorder
Indicates that a border lies between two member states within the European Union, where internal EU border rules apply.
-
C.
borderPostName
Indicates the specific name assigned to a border post where a boundary crossing or checkpoint is located.
-
D.
borderTradePointWith
Indicates a location or facility where trade or commercial exchange occurs between two bordering regions or countries.
-
E.
hasBorderPostWith
Indicates that two regions or territories share a border where an official border post or checkpoint is located between them.
- F. None of above. chosen
Provenance (4 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_69f76ef531ac8190ae6d99e5786e76ec |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd64bc86848190a49f451a8fc5cf1e |
completed | May 8, 2026, 4:21 a.m. |
| PD | Predicate disambiguation | batch_69fd5ff4a648819090756d90fd195d9a |
completed | May 8, 2026, 4 a.m. |
| PDg | Predicate description generation | batch_69fd64bb345c819096a35c72784a8ce3 |
completed | May 8, 2026, 4:21 a.m. |
Created at: May 3, 2026, 4:20 p.m.