Triple
T4069276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoverla |
E86603
|
entity |
| Predicate | hasTouristRoutesFrom |
P17407
|
FINISHED |
| Object |
Kvasy
Kvasy is a village in western Ukraine’s Zakarpattia region, known as a starting point for hikes in the Carpathian Mountains and for its mineral springs.
|
E411159
|
NE FINISHED |
How this triple was built (4 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: Kvasy | Statement: [Hoverla, hasTouristRoutesFrom, Kvasy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kvasy Context triple: [Hoverla, hasTouristRoutesFrom, Kvasy]
-
A.
Gavro
Gavro is a diminutive or short form of the male given name Gavril, commonly used in some Slavic-speaking regions.
-
B.
Vaska Pepel
Vaska Pepel is a central character in Maxim Gorky's play "The Lower Depths," depicted as a young thief whose rough exterior masks a capacity for passion and moral conflict.
-
C.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
-
D.
Orzola
Orzola is a small fishing village and port at the northern tip of Lanzarote in the Canary Islands, known as the main departure point for ferries to the nearby island of La Graciosa.
-
E.
Kropinski
Kropinski is a surname most notably associated with South African-born actress Kasha Kropinski.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kvasy Triple: [Hoverla, hasTouristRoutesFrom, Kvasy]
Generated description
Kvasy is a village in western Ukraine’s Zakarpattia region, known as a starting point for hikes in the Carpathian Mountains and for its mineral springs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kvasy Target entity description: Kvasy is a village in western Ukraine’s Zakarpattia region, known as a starting point for hikes in the Carpathian Mountains and for its mineral springs.
-
A.
Gavro
Gavro is a diminutive or short form of the male given name Gavril, commonly used in some Slavic-speaking regions.
-
B.
Vaska Pepel
Vaska Pepel is a central character in Maxim Gorky's play "The Lower Depths," depicted as a young thief whose rough exterior masks a capacity for passion and moral conflict.
-
C.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
-
D.
Orzola
Orzola is a small fishing village and port at the northern tip of Lanzarote in the Canary Islands, known as the main departure point for ferries to the nearby island of La Graciosa.
-
E.
Kropinski
Kropinski is a surname most notably associated with South African-born actress Kasha Kropinski.
- F. None of above. chosen
Provenance (5 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_69aed93ebe448190a1f1686e28740ac9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af01994b0c8190b34af36acadad5c6 |
completed | March 9, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b562b6eb708190a7f60192d8df9a27 |
completed | March 14, 2026, 1:29 p.m. |
| NEDg | Description generation | batch_69b5668984988190bb4239df9e283142 |
completed | March 14, 2026, 1:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b566ea87f88190ad03e548de53553f |
completed | March 14, 2026, 1:47 p.m. |
Created at: March 9, 2026, 3:38 p.m.