Triple
T3297137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hausa people |
E69242
|
entity |
| Predicate | historicalCity |
P3786
|
FINISHED |
| Object | Rano |
E338630
|
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: Rano | Statement: [Hausa people, historicalCity, Rano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rano Context triple: [Hausa people, historicalCity, Rano]
-
A.
Rano
chosen
Rano is a historic town and traditional emirate in northern Nigeria, located within Kano State.
-
B.
Ryti
Ryti is the surname of Risto Ryti, who served as President of Finland during World War II.
-
C.
Morgon
Morgon is a renowned Beaujolais cru in eastern France known for producing relatively structured, age-worthy red wines primarily from the Gamay grape.
-
D.
Madruga
Madruga is a municipality in western Cuba known for its rural character and location within the historical region surrounding Havana.
-
E.
Rano Kau
Rano Kau is a large volcanic crater on the southwestern tip of Easter Island, notable for its steep cliffs, crater lake, and archaeological remains of the Rapa Nui culture.
- 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_69ad859e529c8190a404273f53cb487d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb078f3dc8190afb624f62894e48f |
completed | March 8, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3d35c448190a4ca50ae31639e65 |
completed | March 12, 2026, 5:11 p.m. |
Created at: March 8, 2026, 3:10 p.m.