Triple
T6542368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vitosha Mountain |
E168320
|
entity |
| Predicate | hasPeak |
P8205
|
FINISHED |
| Object |
Skoparnik
Skoparnik is one of the main peaks of Bulgaria’s Vitosha Mountain, known for its hiking routes and panoramic views over the Sofia region.
|
E605368
|
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: Skoparnik | Statement: [Vitosha Mountain, hasPeak, Skoparnik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skoparnik Context triple: [Vitosha Mountain, hasPeak, Skoparnik]
-
A.
Skopin
Skopin is a historic town in western Russia known for its traditional pottery and ceramics industry.
-
B.
Smidovich
Smidovich is an urban-type settlement in Russia’s Jewish Autonomous Oblast, serving as a local administrative and population center in the region.
-
C.
Smolikas
Smolikas is a prominent mountain in northern Greece, known as the second-highest peak in the country after Mount Olympus.
-
D.
Kopitar
Kopitar is a Slovenian surname most prominently associated with Anze Kopitar, a star center and longtime captain of the NHL’s Los Angeles Kings.
-
E.
Skodje
Skodje is a village and former municipality in western Norway, known for its scenic fjord landscape and historic stone arch bridge.
- 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: Skoparnik Triple: [Vitosha Mountain, hasPeak, Skoparnik]
Generated description
Skoparnik is one of the main peaks of Bulgaria’s Vitosha Mountain, known for its hiking routes and panoramic views over the Sofia region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Skoparnik Target entity description: Skoparnik is one of the main peaks of Bulgaria’s Vitosha Mountain, known for its hiking routes and panoramic views over the Sofia region.
-
A.
Skopin
Skopin is a historic town in western Russia known for its traditional pottery and ceramics industry.
-
B.
Smidovich
Smidovich is an urban-type settlement in Russia’s Jewish Autonomous Oblast, serving as a local administrative and population center in the region.
-
C.
Smolikas
Smolikas is a prominent mountain in northern Greece, known as the second-highest peak in the country after Mount Olympus.
-
D.
Kopitar
Kopitar is a Slovenian surname most prominently associated with Anze Kopitar, a star center and longtime captain of the NHL’s Los Angeles Kings.
-
E.
Skodje
Skodje is a village and former municipality in western Norway, known for its scenic fjord landscape and historic stone arch bridge.
- 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_69c68a51564081909e93aee0dbd9cca3 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6add9036081908917ff27ceed1038 |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d541f25081909a4b218fd38718c6 |
completed | March 27, 2026, 7:06 p.m. |
| NEDg | Description generation | batch_69c6d82753288190bb8cd18254feee2d |
completed | March 27, 2026, 7:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d92bc2508190b0e1eaf8b46c958e |
completed | March 27, 2026, 7:23 p.m. |
Created at: March 27, 2026, 1:50 p.m.