Triple
T21364830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruen Peak |
E526880
|
entity |
| Predicate | hasHikingTrailFrom |
P140677
|
FINISHED |
| Object |
Gyueshevo
Gyueshevo is a Bulgarian village near the border with North Macedonia, known as a starting point for hiking routes in the Osogovo Mountains.
|
E1480313
|
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: Gyueshevo | Statement: [Ruen Peak, hasHikingTrailFrom, Gyueshevo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gyueshevo Context triple: [Ruen Peak, hasHikingTrailFrom, Gyueshevo]
-
A.
Vidnoye
Vidnoye is a small town in Moscow Oblast, Russia, functioning largely as a residential and industrial satellite of Moscow.
-
B.
Barsheni
Barsheni is a small Himalayan village in Himachal Pradesh, India, serving as a popular base for treks to places like Kheerganga and Tosh in the Parvati Valley.
-
C.
Loznitsa
Loznitsa is a small town and municipal center in northeastern Bulgaria known for its agricultural surroundings and local rural character.
-
D.
Kolpashevo
Kolpashevo is a town in western Siberia, Russia, situated on the Ob River and serving as an administrative and economic center in the region.
-
E.
Lypovets
Lypovets is a town in central Ukraine historically known as a local administrative and trade center.
- 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: Gyueshevo Triple: [Ruen Peak, hasHikingTrailFrom, Gyueshevo]
Generated description
Gyueshevo is a Bulgarian village near the border with North Macedonia, known as a starting point for hiking routes in the Osogovo Mountains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gyueshevo Target entity description: Gyueshevo is a Bulgarian village near the border with North Macedonia, known as a starting point for hiking routes in the Osogovo Mountains.
-
A.
Vidnoye
Vidnoye is a small town in Moscow Oblast, Russia, functioning largely as a residential and industrial satellite of Moscow.
-
B.
Barsheni
Barsheni is a small Himalayan village in Himachal Pradesh, India, serving as a popular base for treks to places like Kheerganga and Tosh in the Parvati Valley.
-
C.
Loznitsa
Loznitsa is a small town and municipal center in northeastern Bulgaria known for its agricultural surroundings and local rural character.
-
D.
Kolpashevo
Kolpashevo is a town in western Siberia, Russia, situated on the Ob River and serving as an administrative and economic center in the region.
-
E.
Lypovets
Lypovets is a town in central Ukraine historically known as a local administrative and trade center.
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b06e1ba081908a96928a65da5fa2 |
completed | April 22, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09ad6be0708190811bb7a10b1b7756 |
completed | May 17, 2026, 11:58 a.m. |
| NEDg | Description generation | batch_6a09ae3744588190877e88dd38a80ebd |
completed | May 17, 2026, 12:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09af2184808190b42b5073e90bd83d |
completed | May 17, 2026, 12:05 p.m. |
Created at: April 16, 2026, 5:08 p.m.