Triple
T17168635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bezhta language |
E416669
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Bezhtin |
E746688
|
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: Bezhtin | Statement: [Bezhta language, hasAlternativeName, Bezhtin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bezhtin Context triple: [Bezhta language, hasAlternativeName, Bezhtin]
-
A.
Bezhtas
chosen
The Bezhtas are a small indigenous ethnic group from the mountainous region of Dagestan in the North Caucasus, known for their distinct Northeast Caucasian language and traditional highland culture.
-
B.
Beketov
Beketov is a Russian surname most notably associated with figures such as explorer and Cossack leader Pyotr Beketov.
-
C.
Beşevler
Beşevler is a neighborhood in Bursa, Turkey, known for its educational institutions and urban residential character.
-
D.
Bronnitsy
Bronnitsy is a historic town in Russia known for its jewelry-making traditions and its location southeast of Moscow along the Moskva River.
-
E.
Bezhitsa
Bezhitsa is a district of Bryansk in western Russia, historically known as an industrial town and railway hub.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f9173ee48190bc46622c78479603 |
completed | April 18, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01483f85648190acaeb197013e1f1b |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:37 a.m.