Triple
T10875788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darfur region |
E256794
|
entity |
| Predicate | largestCity |
P235
|
FINISHED |
| Object | Nyala |
E885004
|
NE 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: Nyala | Statement: [Darfur region, largestCity, Nyala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nyala Context triple: [Darfur region, largestCity, Nyala]
-
A.
Nyala
chosen
Nyala is a major city in western Sudan that serves as a key commercial and administrative center in the Darfur region.
-
B.
Njomza
Njomza is a Kosovo-born, Chicago-raised singer-songwriter known for her R&B-influenced pop music and for co-writing major hits like Ariana Grande’s “7 Rings.”
-
C.
Poruba
Poruba is a large residential and administrative district of the city of Ostrava in the Czech Republic, known for its distinctive socialist realist architecture and extensive green spaces.
-
D.
Maswa
Maswa is a town and administrative district in northern Tanzania, known for its agricultural activities within the Simiyu Region.
-
E.
Thohoyandou
Thohoyandou is a town in South Africa’s Limpopo province that serves as an administrative, commercial, and educational hub for the surrounding region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751ac901881909938cabe4d21bdbf |
completed | April 9, 2026, 7:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23b8b3fd48190b36e34dc19fa5193 |
completed | April 17, 2026, 1:54 p.m. |
Created at: April 8, 2026, 9:21 p.m.