Triple
T8739654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazigh |
E207468
|
entity |
| Predicate | hasSubgroup |
P747
|
FINISHED |
| Object | Zayanes |
E505066
|
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: Zayanes | Statement: [Amazigh, hasSubgroup, Zayanes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zayanes Context triple: [Amazigh, hasSubgroup, Zayanes]
-
A.
Zayanes
chosen
Zayanes are a Berber (Amazigh) ethnic group indigenous to Morocco’s Middle Atlas region, known for their distinct language, culture, and tribal history.
-
B.
Zayton
Zayton is the historical name used by medieval Arab and European traders for the major Chinese port city of Quanzhou, once one of the world’s busiest maritime trade centers.
-
C.
Yaviza
Yaviza is a small town in Panama’s Darién Province known as the southern terminus of the Pan-American Highway and a gateway to the remote Darién region.
-
D.
Zimeysa
Zimeysa is a railway station in the canton of Geneva, Switzerland, serving local and regional train services on the Geneva–La Plaine line.
-
E.
Kassis
Kassis is a family name of likely Levantine, particularly Palestinian or broader Arab, origin.
- 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_69ca835a03a081909d4d4cd01a18c9fb |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d486e34819094a6c6ec26c047cf |
completed | March 31, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf42e7176c819097e313ed8e8ceb06 |
completed | April 3, 2026, 4:32 a.m. |
Created at: March 30, 2026, 6:38 p.m.