Triple
T4881639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chatyr-Dag |
E109340
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Crimean Mountains |
E20125
|
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: Crimean Mountains | Statement: [Chatyr-Dag, locatedIn, Crimean Mountains]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crimean Mountains Context triple: [Chatyr-Dag, locatedIn, Crimean Mountains]
-
A.
Crimean Mountains
chosen
The Crimean Mountains are a rugged mountain range in the Crimean Peninsula known for their dramatic limestone cliffs, forested slopes, and highest peak at Roman-Kosh.
-
B.
Greater Caucasus
The Greater Caucasus is a major mountain range in Eurasia stretching between the Black and Caspian Seas, forming part of the traditional boundary between Europe and Asia.
-
C.
Caucasus
The Caucasus is a strategically vital mountainous region between the Black and Caspian Seas, historically contested by empires and known as a major crossroads of Europe and Asia.
-
D.
Ural Mountains
The Ural Mountains are a long mountain range in western Russia that traditionally marks the natural boundary between Europe and Asia.
-
E.
Baikal Mountains
The Baikal Mountains are a rugged mountain range in Siberia, Russia, bordering Lake Baikal and forming part of the region’s dramatic, sparsely populated landscape.
- 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_69bd440e9d64819083e82cf33b4d9570 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6dde6fcc8190a5aa7587f85632bd |
completed | March 20, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be68070bb0819095bda199cc966d31 |
completed | March 21, 2026, 9:42 a.m. |
Created at: March 20, 2026, 1:27 p.m.