Triple
T14224184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Podor, Senegal |
E352573
|
entity |
| Predicate | regionCapitalOfLevel |
P16248
|
FINISHED |
| Object | department-level capital |
—
|
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: department-level capital | Statement: [Podor, Senegal, regionCapitalOfLevel, department-level capital]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionCapitalOfLevel Context triple: [Podor, Senegal, regionCapitalOfLevel, department-level capital]
-
A.
hasCapitalOfLevel
Indicates that an entity serves as the capital corresponding to a specific administrative or hierarchical level (e.g., national, regional, or local) of another entity.
-
B.
regionCapital
chosen
Indicates that one entity is the capital city or administrative center of a specified region.
-
C.
countryCapitalRegion
Indicates that a specified region is the capital region (administrative capital area) of a given country.
-
D.
capitalCityOfRegion
Indicates that a city serves as the official capital of a specified region, functioning as its primary administrative or governmental center.
-
E.
countryCapitalOfRegion
Indicates that a country serves as the capital or primary governing state for a specified region.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6227c288819081473ce44f9f0934 |
completed | April 14, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69de05bf069c8190b69f00f00f5eb126 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:06 a.m.