Triple
T32199886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaolack |
E822501
|
entity |
| Predicate | populationRankInSenegal |
P187588
|
FINISHED |
| Object | among largest cities |
—
|
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: among largest cities | Statement: [Kaolack, populationRankInSenegal, among largest cities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationRankInSenegal Context triple: [Kaolack, populationRankInSenegal, among largest cities]
-
A.
populationRankInBurkinaFaso
Indicates the relative position of an entity in terms of population size compared to other entities within Burkina Faso.
-
B.
primaryLocationWithinSenegal
Indicates that the primary or main location of an entity is situated within the geographic boundaries of Senegal.
-
C.
confederationOfSenegal
Indicates a political or organizational union in which Senegal is a member or constituent part.
-
D.
SahelCountry
Indicates that a country is geographically located in, or commonly considered part of, the Sahel region of Africa.
-
E.
populationRankInSierraLeone
Indicates the relative position of an entity in terms of population size compared to other entities within Sierra Leone.
- 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_69f349093174819086e633c190a51aa8 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
| PDg | Predicate description generation | batch_69fb6fdab95c81909acff3c6a2359787 |
completed | May 6, 2026, 4:44 p.m. |
Created at: May 1, 2026, 12:36 a.m.