Triple
T16950088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lazeshchyna |
E411158
|
entity |
| Predicate | nearMountainRange |
P651
|
FINISHED |
| Object | Chornohora |
E846395
|
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: Chornohora | Statement: [Lazeshchyna, nearMountainRange, Chornohora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chornohora Context triple: [Lazeshchyna, nearMountainRange, Chornohora]
-
A.
Chornohora
chosen
Chornohora is a prominent mountain range in the Ukrainian Carpathians, known for containing some of the country’s highest peaks and scenic alpine landscapes.
-
B.
Hoverla
Hoverla is the tallest mountain in Ukraine, located in the Carpathian range and popular for hiking and tourism.
-
C.
Konyavska Mountain
Konyavska Mountain is a small mountain range in western Bulgaria known for its forested slopes and scenic views near the town of Kyustendil.
-
D.
Sněžka
Sněžka is the highest mountain in the Czech Republic, located on the border with Poland in the Krkonoše range.
-
E.
Bieszczady Mountains
The Bieszczady Mountains are a remote, scenic mountain range in southeastern Poland known for their rolling forested hills, wild nature, and popular hiking trails.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cfb570b08190ae3385b0cad32668 |
completed | April 18, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012eccd1e48190aa0dc64562d6ff1f |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:31 a.m.