Triple
T24845989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Majete Wildlife Reserve |
E621747
|
entity |
| Predicate | distanceFromBlantyre |
P162553
|
FINISHED |
| Object | about 70 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 70 km | Statement: [Majete Wildlife Reserve, distanceFromBlantyre, about 70 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromBlantyre Context triple: [Majete Wildlife Reserve, distanceFromBlantyre, about 70 km]
-
A.
distanceFromBujumbura
Indicates the measured spatial distance between a given location and the city of Bujumbura.
-
B.
distanceToBujumbura_km
Indicates the physical distance, measured in kilometers, between a given place or entity and the city of Bujumbura.
-
C.
distanceFromMasvingo
Indicates the spatial distance between a given location and Masvingo.
-
D.
distanceFromBulawayo
Indicates the measured spatial distance between a given location or entity and the city of Bulawayo.
-
E.
distanceFromMbabaneKilometers
Indicates the physical distance, measured in kilometers, between an entity’s location and the city of Mbabane.
- 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_69e2fac297e481909d3aedc75f585e42 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f62b9e5ba88190a3c0d46edec7afe7 |
completed | May 2, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69f623a4e1048190bbb8dd1253fdcee9 |
completed | May 2, 2026, 4:17 p.m. |
| PDg | Predicate description generation | batch_69f627ad6d4c81909796d39d78e414f9 |
completed | May 2, 2026, 4:34 p.m. |
Created at: April 18, 2026, 5:19 a.m.