Triple
T16351432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pankisi Gorge |
E397069
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Chechen |
E90390
|
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: Chechen | Statement: [Pankisi Gorge, language, Chechen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chechen Context triple: [Pankisi Gorge, language, Chechen]
-
A.
Chechen language
chosen
The Chechen language is a Northeast Caucasian language primarily spoken in the Chechen Republic of Russia and by Chechen communities in the Caucasus and diaspora.
-
B.
Chechens
Chechens are a predominantly Muslim ethnic group native to the North Caucasus region, known for their distinct language, culture, and strong clan-based social traditions.
-
C.
Kabardino-Cherkess
Kabardino-Cherkess is a Northwest Caucasian language spoken primarily by the Kabardian and Cherkess peoples in the North Caucasus region of Russia.
-
D.
Lezghinka
Lezghinka is a fast-paced, energetic traditional folk dance of the peoples of the North Caucasus, often featuring sharp footwork and expressive, dramatic movements.
-
E.
Chuvash
Chuvash are a Turkic ethnic group native to the Volga region of Russia, known for their distinct Chuvash language and culture.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2facb37d0819093fe45446f1e79c1 |
completed | April 18, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004575157c819098dbf27cf6641ff4 |
completed | May 10, 2026, 8:44 a.m. |
Created at: April 10, 2026, 5:07 a.m.