Triple
T19467971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Equatoria region |
E487047
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Torit |
—
|
NE NERFINISHED |
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: Torit | Statement: [Equatoria region, hasMajorCity, Torit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torit Context triple: [Equatoria region, hasMajorCity, Torit]
-
A.
Torit
chosen
Torit is a town in southeastern South Sudan that played a pivotal role in the country’s history as the site of the 1955 mutiny often seen as a precursor to the First Sudanese Civil War.
-
B.
Toaripi
Toaripi is a given name most notably borne by Toaripi Lauti, a political figure from Tuvalu.
-
C.
Torae
Torae is an American underground hip-hop rapper and songwriter known for his gritty lyricism and collaborations with prominent New York emcees and producers.
-
D.
Tomtor
Tomtor is a remote rural settlement in Russia’s Sakha Republic, known for its extreme subarctic climate and proximity to the mysterious Lake Labynkyr.
-
E.
Tora
Tora is a popular nickname for the Hanshin Tigers, a professional Japanese baseball team based in the Kansai region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633e4b230819097c8804ee91988ea |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 10, 2026, 1:39 p.m.