Triple
T16710741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Awankari |
E406099
|
entity |
| Predicate | ethnicGroup |
P194
|
FINISHED |
| Object | Awan |
E766876
|
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: Awan | Statement: [Awankari, ethnicGroup, Awan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Awan Context triple: [Awankari, ethnicGroup, Awan]
-
A.
Awan
chosen
Awan was an ancient city-state of the Elamite civilization, known from Mesopotamian sources as an early political center in southwestern Iran.
-
B.
Talas
Talas is a district and rapidly growing residential area of the central Anatolian city of Kayseri in Turkey.
-
C.
Stratus
Stratus was an ancient Greek city that served as the principal political and military center of the Acarnanian region in western Greece.
-
D.
Meekatharra
Meekatharra is a remote outback town in Western Australia known historically for gold mining and as a service hub for the surrounding pastoral and mining regions.
-
E.
Nebbi
Nebbi is a town in northwestern Uganda that serves as an important local administrative and commercial center near the border with the Democratic Republic of the Congo.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e386523fc08190a13a4232af191992 |
completed | April 18, 2026, 1:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091a739308190b4d645e096d1710b |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:20 a.m.