Triple
T5008786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lezgian |
E112561
|
entity |
| Predicate | languageFamilyNeighbor |
P38997
|
FINISHED |
| Object | Tsakhur |
E259671
|
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: Tsakhur | Statement: [Lezgian, languageFamilyNeighbor, Tsakhur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tsakhur Context triple: [Lezgian, languageFamilyNeighbor, Tsakhur]
-
A.
Tsakhurs
chosen
Tsakhurs are a Northeast Caucasian ethnic group traditionally inhabiting mountainous regions of present-day Azerbaijan and Dagestan, known for their distinct language and rich folk culture.
-
B.
Khopyor
Khopyor is a major river in southwestern Russia that flows through the Central Russian Upland before joining the Don River.
-
C.
Chelkash
"Chelkash" is a short story by Russian writer Maksim Gorky that portrays a cynical dockside thief and explores themes of freedom, poverty, and moral ambiguity in late 19th-century Russia.
-
D.
Najd
Najd is the central plateau region of Saudi Arabia, historically known as a heartland of Arab tribal culture and the birthplace of the modern Saudi state.
-
E.
Tayshet
Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
- 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_69bd4433d0b08190877e83959ef40d81 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd77c9fc7c8190b165a5cfd5889ba8 |
completed | March 20, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9266314881909dfb710c5b5c8f65 |
completed | March 21, 2026, 12:43 p.m. |
Created at: March 20, 2026, 1:35 p.m.