Triple
T16594423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mozabite Berber |
E403169
|
entity |
| Predicate | associatedWithCity |
P1481
|
FINISHED |
| Object | Beni Isguen |
E400264
|
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: Beni Isguen | Statement: [Mozabite Berber, associatedWithCity, Beni Isguen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beni Isguen Context triple: [Mozabite Berber, associatedWithCity, Beni Isguen]
-
A.
Beni Isguen
chosen
Beni Isguen is a historic fortified town in Algeria renowned for its well-preserved traditional Mozabite architecture and strict social and religious customs.
-
B.
Beni Iznasen
Beni Iznasen are a Berber (Amazigh) ethnic group from northeastern Morocco, known for their distinct language and cultural traditions.
-
C.
Beni Iznassen Berber
Beni Iznassen Berber are a Berber ethnic group from northeastern Morocco, traditionally speaking a Zenati Berber dialect and known for their distinct cultural and tribal identity.
-
D.
Sama-Banguingui
Sama-Banguingui is an Austronesian language spoken by the Sama-Banguingui people of the Sulu Archipelago in the southern Philippines.
-
E.
Beni Yadjis
Beni Yadjis is a town and commune located in Jijel Province in northeastern Algeria.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35d70ad008190bba0901bf3c7089f |
completed | April 18, 2026, 10:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00759dea5c819083fe9fb7dee37a35 |
completed | May 10, 2026, 12:10 p.m. |
Created at: April 10, 2026, 5:16 a.m.