Triple
T12273028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rharhabe |
E292517
|
entity |
| Predicate | hasClanName |
P68996
|
FINISHED |
| Object | AmaRharhabe |
E940800
|
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: AmaRharhabe | Statement: [Rharhabe, hasClanName, AmaRharhabe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AmaRharhabe Context triple: [Rharhabe, hasClanName, AmaRharhabe]
-
A.
AmaRharhabe
chosen
AmaRharhabe is a prominent sub-group of the Xhosa people, historically led by its own royal lineage within the broader Xhosa nation.
-
B.
AmaBhaca
AmaBhaca are a Southern African ethnic group, primarily found in South Africa’s Eastern Cape, known for their distinct Nguni language and cultural traditions.
-
C.
AmaMfengu
AmaMfengu are a Southern African ethnic group historically associated with the Xhosa-speaking peoples, known for their distinct cultural identity and role in regional political and military history.
-
D.
Ama
Ama is a feminine given name commonly used in Ghana, particularly among the Akan people, traditionally for girls born on Saturday.
-
E.
Ama
Ama is a small city located in Aichi Prefecture in Japan, known primarily as a residential and commuter town within the Nagoya metropolitan area.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cee7158819093fff74db6867896 |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a959e7c8190a005f20728cb71e0 |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:52 p.m.