Triple
T9824162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Wahat District |
E238611
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Awjila |
E668011
|
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: Awjila | Statement: [Al Wahat District, containsSettlement, Awjila]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Awjila Context triple: [Al Wahat District, containsSettlement, Awjila]
-
A.
Awjila
chosen
Awjila is an endangered Eastern Berber language once spoken in the oasis town of Awjila in northeastern Libya.
-
B.
Shawiya
Shawiya refers to an Amazigh (Berber) ethnic group and their Zenati Berber language spoken primarily in the Aurès Mountains of northeastern Algeria.
-
C.
Awni
Awni is a masculine given name of Arabic origin, commonly used in the Middle East.
-
D.
Dijlah
Dijlah is the Arabic name for the Tigris River, one of the major rivers of Western Asia flowing through Turkey, Syria, and Iraq.
-
E.
Naqiʾa
Naqiʾa was a powerful Neo-Assyrian royal woman, influential as queen and political advisor during the reigns of Sennacherib and her son Esarhaddon.
- 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_69ca84e0dd1881909800765d1e21f735 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb316f8948190ada3738787a5cb6a |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc810bac8190a5ff94c0717e7706 |
completed | April 5, 2026, 2:44 a.m. |
Created at: March 30, 2026, 8:31 p.m.