Triple
T5467749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khasavyurt |
E122754
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object | Avar |
E112560
|
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: Avar | Statement: [Khasavyurt, hasLanguage, Avar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avar Context triple: [Khasavyurt, hasLanguage, Avar]
-
A.
Avar
chosen
Avar is a Northeast Caucasian language spoken primarily by the Avar people in Dagestan and neighboring regions of the North Caucasus.
-
B.
Avarua
Avarua is the main town and administrative, commercial, and cultural center of the Cook Islands, located on the north coast of Rarotonga.
-
C.
Avar people
The Avar people are a Northeast Caucasian ethnic group primarily inhabiting Dagestan in Russia, known for their distinct Avar language, rich mountain culture, and long history in the Caucasus region.
-
D.
Etnedal
Etnedal is a rural municipality in Innlandet county, Norway, known for its forested valleys, agriculture, and outdoor recreation.
-
E.
Avusy
Avusy is a small rural municipality located in the canton of Geneva in southwestern Switzerland, near the French border.
- 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_69bd4643f16081908d7f29e08096115a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9218621c819093267a012bd49a35 |
completed | March 20, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf48903dc48190b4e5a0c22545d6cc |
completed | March 22, 2026, 1:40 a.m. |
Created at: March 20, 2026, 2:09 p.m.