Triple
T32690771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grootfontein, Namibia |
E835849
|
entity |
| Predicate | nearbyAttractionDistance |
P3449
|
FINISHED |
| Object | about 20 km |
—
|
LITERAL FINISHED |
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: about 20 km | Statement: [Grootfontein, Namibia, nearbyAttractionDistance, about 20 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyAttractionDistance Context triple: [Grootfontein, Namibia, nearbyAttractionDistance, about 20 km]
-
A.
nearbyTo
Indicates that one entity is located close in distance or position to another entity.
-
B.
proximityToLandmark
Indicates a spatial relationship where one entity is located near or close to a specified landmark.
-
C.
hasAttractionNearby
chosen
Indicates that one entity is located close to another entity that serves as an attraction or point of interest.
-
D.
nearbyLocation
Indicates that one location is situated close to another location in physical space.
-
E.
nearestTownDistance
Indicates the distance from a given location to the closest town.
- 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_69f3493211388190993801216afbc2a7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fdd5fba5048190b7d430ae2054a1fd |
completed | May 8, 2026, 12:24 p.m. |
| PD | Predicate disambiguation | batch_69fdd35f76f88190a1854ea27132f9c7 |
completed | May 8, 2026, 12:13 p.m. |
Created at: May 1, 2026, 1:09 a.m.