Triple
T38489044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaya |
E918002
|
entity |
| Predicate | directionFromOuagadougou |
P197617
|
FINISHED |
| Object | northeast |
—
|
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: northeast | Statement: [Kaya, directionFromOuagadougou, northeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directionFromOuagadougou Context triple: [Kaya, directionFromOuagadougou, northeast]
-
A.
directionFromDakar
Indicates the cardinal or relative compass direction of one place or object as measured from Dakar.
-
B.
railDirectionFromLibreville
Indicates the direction or orientation of a railway route as it extends outward starting from Libreville.
-
C.
distanceFromOuagadougou_km
Indicates the physical distance, measured in kilometers, between an entity and the city of Ouagadougou.
-
D.
directionFromLomé
Indicates the cardinal or relative direction of an entity as measured from the location of Lomé.
-
E.
directionFromAlgeria
Indicates the relative compass direction in which one entity is located when viewed from Algeria.
- 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_69f76e9894208190a129a553a60ca58c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe9dfaa2d08190b2084f63f842eb6b |
completed | May 9, 2026, 2:37 a.m. |
| PD | Predicate disambiguation | batch_69fe9bba947c81908b0b2b92a4d19b37 |
completed | May 9, 2026, 2:28 a.m. |
| PDg | Predicate description generation | batch_69fe9df9561c8190a068f91c9fc78e56 |
completed | May 9, 2026, 2:37 a.m. |
Created at: May 3, 2026, 4:31 p.m.