Triple
T7405161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shawiya language |
E170851
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object | Shawiya |
E169916
|
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: Shawiya | Statement: [Shawiya language, alternateName, Shawiya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shawiya Context triple: [Shawiya language, alternateName, Shawiya]
-
A.
Shawiya
chosen
Shawiya refers to an Amazigh (Berber) ethnic group and their Zenati Berber language spoken primarily in the Aurès Mountains of northeastern Algeria.
-
B.
Jabriya
Jabriya is a residential suburb in Kuwait known for its mix of apartment buildings, schools, and local shops within the Hawalli Governorate.
-
C.
Hasbaya
Hasbaya is a historic town in southern Lebanon known for its strategic location near Mount Hermon and its traditional Druze and Christian communities.
-
D.
Shawar
Shawar was a 12th-century vizier of the Fatimid Caliphate in Egypt, known for his turbulent rule and role in the conflicts that devastated Fustat.
-
E.
She'eb
She'eb is a town in Eritrea located within the Northern Red Sea administrative region.
- 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_69c68a6010108190925e5284de022660 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f271f1d481909a46d50b13b51a62 |
completed | March 27, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81ed79680819087a56082e968c266 |
completed | March 28, 2026, 6:32 p.m. |
Created at: March 27, 2026, 3:10 p.m.