Triple
T3156854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tatra Mountains |
E66004
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | High Tatras |
E66004
|
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: High Tatras | Statement: [Tatra Mountains, hasPart, High Tatras]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: High Tatras Context triple: [Tatra Mountains, hasPart, High Tatras]
-
A.
Low Tatras
The Low Tatras are a major mountain range in central Slovakia, known for their national parks, ski resorts, and role as a backdrop to key events in Slovak history.
-
B.
Tatra Mountains
chosen
The Tatra Mountains are a rugged mountain range forming part of the Carpathians, renowned for their alpine peaks, glacial lakes, and role as a natural border between Slovakia and Poland.
-
C.
Malá Fatra
Malá Fatra is a mountain range in northern Slovakia known for its rugged peaks, deep valleys, and popular hiking and skiing areas within the Malá Fatra National Park.
-
D.
Krušné hory
Krušné hory is a mountain range along the Czech–German border known for its historic mining heritage, forests, and winter sports resorts.
-
E.
Veľká Fatra
Veľká Fatra is a large, forested mountain range in Slovakia known for its rugged limestone peaks, deep valleys, and protected national park landscapes.
- 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_69ad85850c1481908a9e9c6242238de2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5eafa4c8190a65cc1312823144c |
completed | March 8, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b235c3554c8190a94040955391a020 |
completed | March 12, 2026, 3:40 a.m. |
Created at: March 8, 2026, 3:05 p.m.