Triple
T16950068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lazeshchyna |
E411158
|
entity |
| Predicate | locatedBetween |
P1262
|
FINISHED |
| Object |
Yablunytsia
Yablunytsia is a village and mountain pass area in Ukraine’s Carpathian Mountains, known as a gateway to popular ski and hiking destinations.
|
E1242837
|
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: Yablunytsia | Statement: [Lazeshchyna, locatedBetween, Yablunytsia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yablunytsia Context triple: [Lazeshchyna, locatedBetween, Yablunytsia]
-
A.
Rubizhne
Rubizhne is an industrial city in eastern Ukraine known for its chemical and manufacturing industries and its location within the conflict-affected Donbas region.
-
B.
Zhmerynka
Zhmerynka is a city in central Ukraine known as an important regional railway junction and administrative center.
-
C.
Sahaidachny
Sahaidachny is the honorific title of Petro Konashevych-Sahaidachny, a prominent early 17th-century Ukrainian Cossack military and political leader.
-
D.
Sosnytsia
Sosnytsia is a small historic town in northern Ukraine known for its traditional architecture and rural character.
-
E.
Mukhavets
Mukhavets is a river in western Belarus that flows through the city of Brest before joining the Western Bug.
- 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: Yablunytsia Triple: [Lazeshchyna, locatedBetween, Yablunytsia]
Generated description
Yablunytsia is a village and mountain pass area in Ukraine’s Carpathian Mountains, known as a gateway to popular ski and hiking destinations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yablunytsia Target entity description: Yablunytsia is a village and mountain pass area in Ukraine’s Carpathian Mountains, known as a gateway to popular ski and hiking destinations.
-
A.
Rubizhne
Rubizhne is an industrial city in eastern Ukraine known for its chemical and manufacturing industries and its location within the conflict-affected Donbas region.
-
B.
Zhmerynka
Zhmerynka is a city in central Ukraine known as an important regional railway junction and administrative center.
-
C.
Sahaidachny
Sahaidachny is the honorific title of Petro Konashevych-Sahaidachny, a prominent early 17th-century Ukrainian Cossack military and political leader.
-
D.
Sosnytsia
Sosnytsia is a small historic town in northern Ukraine known for its traditional architecture and rural character.
-
E.
Mukhavets
Mukhavets is a river in western Belarus that flows through the city of Brest before joining the Western Bug.
- 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_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_6a00d46036108190a3ed8cb9f80c47fb |
completed | May 10, 2026, 6:54 p.m. |
| NEDg | Description generation | batch_6a00d56c6dac81909ee95bd3ae190226 |
completed | May 10, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00d61da80081909bafed03694799bb |
completed | May 10, 2026, 7:01 p.m. |
Created at: April 10, 2026, 5:31 a.m.