Triple
T14110435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niani |
E339619
|
entity |
| Predicate | culturalRegion |
P1968
|
FINISHED |
| Object | Mande world |
E166201
|
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: Mande world | Statement: [Niani, culturalRegion, Mande world]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mande world Context triple: [Niani, culturalRegion, Mande world]
-
A.
Mande
chosen
Mande is a major branch of the Niger-Congo language family comprising numerous related languages spoken across West Africa, particularly in countries like Mali, Guinea, and Sierra Leone.
-
B.
Mandeali
Mandeali is an Indo-Aryan language spoken primarily in the Mandi district of Himachal Pradesh in northern India.
-
C.
Mandinka
Mandinka is a major Mande language spoken primarily in The Gambia, Senegal, Guinea-Bissau, and neighboring West African countries by the Mandinka people.
-
D.
Mundi
Mundi is a town in the Khandwa district of Madhya Pradesh, India, known locally as an important regional center for trade and agriculture.
-
E.
Mandji
Mandji is a town located within Ngounié Province in southwestern Gabon.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de600e6a688190a1243a30ae9b7157 |
completed | April 14, 2026, 3:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0b699108190993f1102418ecff1 |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:22 p.m.