Triple
T23971174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chipata |
E604235
|
entity |
| Predicate | distanceToLusaka_km |
P115091
|
FINISHED |
| Object | about 570 |
—
|
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 570 | Statement: [Chipata, distanceToLusaka_km, about 570]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToLusaka_km Context triple: [Chipata, distanceToLusaka_km, about 570]
-
A.
distanceFromLusaka
chosen
Indicates the spatial distance between a given location and the city of Lusaka.
-
B.
distanceToKinshasa
Indicates the measured spatial distance between a given entity’s location and the city of Kinshasa.
-
C.
distanceToGaborone
Indicates the spatial distance between a given entity’s location and the city of Gaborone.
-
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.
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_69e29543019c8190872462e593cc50b4 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d1dc3f088190a55faf6f01ddf4bf |
completed | April 29, 2026, 9:39 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:25 p.m.