Triple
T34915236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mata-Mata (Namibia) |
E1006981
|
entity |
| Predicate | nearestInternationalBorderPostAlongPark |
P182103
|
FINISHED |
| Object | Twee Rivieren 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: Twee Rivieren border post | Statement: [Mata-Mata (Namibia), nearestInternationalBorderPostAlongPark, Twee Rivieren border post]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearestInternationalBorderPostAlongPark Context triple: [Mata-Mata (Namibia), nearestInternationalBorderPostAlongPark, Twee Rivieren border post]
-
A.
nearestNationalParkEntrance
Indicates the relationship where a given location is associated with the closest entrance point of a national park.
-
B.
nearBorderCrossing
Indicates that an entity is located close to a border crossing point between two regions or countries.
-
C.
nearInternationalBoundary
Indicates that one entity is located close to an international boundary separating two or more countries.
-
D.
nearbyCountryPark
Indicates that a country park is located close to or within a short distance of a given reference place or area.
-
E.
nearestInternationalBorderCrossingCountry
Indicates the country in which the closest international border crossing point to a given location is situated.
- 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_69f76dc2b6b0819095a61debbd405269 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78710282c81909146dc0be91e983f |
completed | May 3, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f784162134819098413482ef52042f |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f7870dfe108190996c0c68630edc7f |
completed | May 3, 2026, 5:34 p.m. |
Created at: May 3, 2026, 4 p.m.