Triple
T21097283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Onogurs |
E519799
|
entity |
| Predicate | relatedGroup |
P37
|
FINISHED |
| Object | Sabirs |
—
|
NE NERFINISHED |
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: Sabirs | Statement: [Onogurs, relatedGroup, Sabirs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sabirs Context triple: [Onogurs, relatedGroup, Sabirs]
-
A.
Sabirs
chosen
The Sabirs were a nomadic Turkic people of Late Antiquity and the early Middle Ages, known for their military prowess and role in the Eurasian steppe power dynamics.
-
B.
Sambir
Sambir is a small historic city in western Ukraine known for its medieval roots and location within the Lviv Oblast.
-
C.
Shaiba
Shaiba is a location in southern Iraq notable as the site of the World War I Battle of Shaiba between British and Ottoman forces.
-
D.
Sira
Sira is a historic town in the Tumakuru district of Karnataka, India, known for its former prominence as a regional administrative and military center under various South Indian and Mughal-era rulers.
-
E.
Sabile
Sabile is a small Latvian town in the Kurzeme region, known for its historic wine hill and picturesque setting along the River Abava.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b5a3a9481908e30fba9717dc461 |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 2:52 p.m.