Triple
T23971242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chongwe District |
E604237
|
entity |
| Predicate | geographicalDirectionFromLusaka |
P154082
|
FINISHED |
| Object | east |
—
|
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: east | Statement: [Chongwe District, geographicalDirectionFromLusaka, east]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geographicalDirectionFromLusaka Context triple: [Chongwe District, geographicalDirectionFromLusaka, east]
-
A.
distanceFromLusaka
Indicates the spatial distance between a given location and the city of Lusaka.
-
B.
directionFromHarare
Indicates the cardinal or relative compass direction of an entity’s location measured from Harare.
-
C.
distanceToGaborone
Indicates the spatial distance between a given entity’s location and the city of Gaborone.
-
D.
directionFromKampala
Indicates the cardinal or relative compass direction in which one location lies when measured outward from Kampala.
-
E.
directionFromCapeTown
Indicates the compass direction in which one entity is located relative to Cape Town.
- 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_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. |
| PDg | Predicate description generation | batch_69f167dca3608190ace9d2eef56b2af6 |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 9:25 p.m.