Triple
T9526606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harari language |
E229774
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Gey Sinan |
E693072
|
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: Gey Sinan | Statement: [Harari language, hasAlternativeName, Gey Sinan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gey Sinan Context triple: [Harari language, hasAlternativeName, Gey Sinan]
-
A.
Gey Sinan
chosen
Gey Sinan is an alternative name for the Harari people, an ethnic group primarily associated with the city of Harar in eastern Ethiopia.
-
B.
Beni Ensar
Beni Ensar is a coastal town in northeastern Morocco known for its port and proximity to the Spanish enclave of Melilla.
-
C.
Tāj al-Dīn
Tāj al-Dīn is an honorific title meaning "Crown of the Religion," borne by the influential Egyptian Sufi scholar and spiritual master Ibn ‘Ata’ Allah al-Iskandari.
-
D.
Jehan
Jehan is an archaic or variant French form of the given name Jean, historically used in medieval and early modern texts.
-
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_69ca8479934c81908006d0e6e970ae05 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd989c831081908877e42f7ead84ba |
completed | April 1, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c2710b481909a13d946f6dd5b2d |
completed | April 4, 2026, 5:36 p.m. |
Created at: March 30, 2026, 8 p.m.