Triple
T10875795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darfur region |
E256794
|
entity |
| Predicate | majorEthnicGroup |
P1898
|
FINISHED |
| Object | Fur |
E869036
|
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: Fur | Statement: [Darfur region, majorEthnicGroup, Fur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fur Context triple: [Darfur region, majorEthnicGroup, Fur]
-
A.
Fur
chosen
Fur is a Nilo-Saharan language spoken primarily by the Fur people of western Sudan’s Darfur region.
-
B.
Fur
Fur is a small Danish island in the Limfjord, renowned for its dramatic cliffs, fossil-rich moler clay deposits, and scenic coastal landscapes.
-
C.
Loose Fur
Loose Fur is an American experimental rock supergroup formed in the early 2000s, best known for its improvisational, avant-garde sound and its connections to members of Wilco and the Chicago indie scene.
-
D.
الفرّاء
الفرّاء هو نحويّ ولغويّ كوفي بارز من أئمة المدرسة الكوفية في النحو واللغة في العصر العباسي.
-
E.
Wool
Wool is a post-apocalyptic science fiction novel by Hugh Howey, known for its serialized origin and its depiction of a society living in an underground silo.
- 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_69dff7ddafc48190824c133bb33b9efe |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 8, 2026, 9:21 p.m.