Triple
T22139531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Difaqane |
E547120
|
entity |
| Predicate | hasAlias |
P455
|
FINISHED |
| Object | Difaquane |
—
|
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: Difaquane | Statement: [Difaqane, hasAlias, Difaquane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Difaquane Context triple: [Difaqane, hasAlias, Difaquane]
-
A.
Difaqane
chosen
Difaqane is a period of widespread warfare, migration, and social upheaval in early 19th-century southern Africa that reshaped the region’s political and demographic landscape.
-
B.
Datooga
Datooga is a Southern Nilotic language spoken primarily by the Datooga people of north-central Tanzania.
-
C.
Mabila
Mabila is the fortified Native American town in present-day Alabama that was the site of a major 1540 battle between Hernando de Soto’s Spanish expedition and the forces of Chief Tuskaloosa.
-
D.
Diriamba
Diriamba is a city in southwestern Nicaragua known for its coffee production, colonial architecture, and traditional folkloric festivals.
-
E.
Afgoye
Afgoye is a town in southern Somalia known historically as an agricultural and trading center along the Shabelle River.
- 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_69e11e3a95d88190a3bd80d9471976c3 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129bc7ae881909798c64a4c19adad |
completed | April 28, 2026, 9:42 p.m. |
Created at: April 16, 2026, 8:32 p.m.