Triple
T10128891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karachayevsk |
E226283
|
entity |
| Predicate | primaryEthnicGroups |
P194
|
FINISHED |
| Object | Abazins |
E143179
|
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: Abazins | Statement: [Karachayevsk, primaryEthnicGroups, Abazins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abazins Context triple: [Karachayevsk, primaryEthnicGroups, Abazins]
-
A.
Abazins
chosen
Abazins are a small Northwest Caucasian ethnic group closely related to the Abkhazians, traditionally inhabiting the North Caucasus region and speaking the Abaza language.
-
B.
Abriès
Abriès is a small alpine commune in southeastern France, known for its scenic location in the Queyras valley near the Italian border and its outdoor mountain activities.
-
C.
Auberjonois
Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
-
D.
Orléat
Orléat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
-
E.
Aubenas
Aubenas is a historic market town in southern France known for its medieval castle and role as a commercial center of the Ardèche 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_69ca843057b48190a86730167f5d6b98 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd333186c819088bbf617967f24fa |
completed | April 2, 2026, 2:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cc72848481909dcbfc9fe3f6d379 |
completed | April 5, 2026, 8:56 p.m. |
Created at: March 30, 2026, 9:05 p.m.