Triple
T5825648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mfecane |
E129216
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Difaqane
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.
|
E547120
|
NE FINISHED |
How this triple was built (4 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: Difaqane | Statement: [Mfecane, hasAlternativeName, Difaqane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Difaqane Context triple: [Mfecane, hasAlternativeName, Difaqane]
-
A.
Kadifekale
Kadifekale is a historic hilltop castle and fortress overlooking the city of Izmir in western Turkey.
-
B.
Dahegam
Dahegam is a town in the Indian state of Gujarat known for its local commerce and role as a regional hub within the Gandhinagar area.
-
C.
Pashai
The Pashai are an indigenous ethnic group of eastern Afghanistan, known for their distinct Indo-Aryan language and traditional mountain-based agrarian lifestyle.
-
D.
Farkadona
Farkadona is a town and municipality in central Greece, situated in the Thessaly region.
-
E.
Dagaaba
The Dagaaba are an ethnic group of northwestern Ghana and neighboring Burkina Faso, known for their agrarian lifestyle, rich oral traditions, and distinctive Dagaare language.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Difaqane Triple: [Mfecane, hasAlternativeName, Difaqane]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Difaqane Target entity description: 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.
-
A.
Kadifekale
Kadifekale is a historic hilltop castle and fortress overlooking the city of Izmir in western Turkey.
-
B.
Dahegam
Dahegam is a town in the Indian state of Gujarat known for its local commerce and role as a regional hub within the Gandhinagar area.
-
C.
Pashai
The Pashai are an indigenous ethnic group of eastern Afghanistan, known for their distinct Indo-Aryan language and traditional mountain-based agrarian lifestyle.
-
D.
Farkadona
Farkadona is a town and municipality in central Greece, situated in the Thessaly region.
-
E.
Dagaaba
The Dagaaba are an ethnic group of northwestern Ghana and neighboring Burkina Faso, known for their agrarian lifestyle, rich oral traditions, and distinctive Dagaare language.
- F. None of above. chosen
Provenance (5 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_69c00849d55481908b4f9f5543e0bf6d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0341a85988190be988f1c0722da66 |
completed | March 22, 2026, 6:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0985e3e748190abcc226abdcdb4b5 |
completed | March 23, 2026, 1:33 a.m. |
| NEDg | Description generation | batch_69c098f465cc819088241200306bd273 |
completed | March 23, 2026, 1:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c09978ab548190934bc9517444f8a7 |
completed | March 23, 2026, 1:38 a.m. |
Created at: March 22, 2026, 3:53 p.m.