Triple
T4358295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Variscan orogeny |
E98603
|
entity |
| Predicate | affects |
P9
|
FINISHED |
| Object | Bohemian Massif |
E51484
|
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: Bohemian Massif | Statement: [Variscan orogeny, affects, Bohemian Massif]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bohemian Massif Context triple: [Variscan orogeny, affects, Bohemian Massif]
-
A.
Bohemian Massif
chosen
The Bohemian Massif is a large, ancient crystalline highland in Central Europe, spanning parts of the Czech Republic, Germany, Austria, and Poland.
-
B.
Ďumbier massif
Ďumbier massif is a prominent mountain group in central Slovakia known for its rugged alpine terrain and scenic hiking routes.
-
C.
Dagi
Dagi is a diminutive form of the given name Dagmar, commonly used as an affectionate nickname.
-
D.
Ore Mountains
The Ore Mountains are a mountain range along the German-Czech border known for their historic mining industry and traditional Christmas folk art.
-
E.
Orlické Mountains
The Orlické Mountains are a mountain range in northeastern Bohemia, Czech Republic, known for their forested ridges, hiking and skiing opportunities, and position along the Czech–Polish border.
- 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351c7fa1881908bdc844a7142eb65 |
completed | March 12, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbbcb6188190a8a4da6a080f0d61 |
completed | March 14, 2026, 10:05 p.m. |
Created at: March 12, 2026, 11:16 p.m.