Triple
T21914421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerkhozhan |
E541145
|
entity |
| Predicate | hasSuccessor |
P78
|
FINISHED |
| Object | Tyrnyauz |
—
|
NE NERFINISHED |
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: Tyrnyauz | Statement: [Gerkhozhan, hasSuccessor, Tyrnyauz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tyrnyauz Context triple: [Gerkhozhan, hasSuccessor, Tyrnyauz]
-
A.
Tyrnyauz
chosen
Tyrnyauz is a mountainous town in southwestern Russia known for its former tungsten-molybdenum mining industry and location in the North Caucasus.
-
B.
Gorgany
Gorgany is a rugged mountain range in the Eastern Carpathians of western Ukraine, known for its dense forests, rocky terrain, and rich biodiversity.
-
C.
Sarydzhaz
Sarydzhaz is a river in Central Asia that flows through the Tien Shan mountains, forming part of the upper course of the Tarim River system.
-
D.
Tyurin
Tyurin is the hard-edged yet pragmatic foreman of Ivan Denisovich’s work gang in Solzhenitsyn’s novel, embodying both the brutality and rough solidarity of the Soviet labor camp system.
-
E.
Zhukhrai
Zhukhrai is a supporting character in Nikolai Ostrovsky’s socialist realist novel "How the Steel Was Tempered," serving as a revolutionary mentor figure who helps shape the protagonist’s political consciousness.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47c4b9c8190a5586a75f5f36453 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f123366cb88190a42aa741e1245fd9 |
completed | April 28, 2026, 9:14 p.m. |
Created at: April 16, 2026, 7:42 p.m.