Triple
T6542365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vitosha Mountain |
E168320
|
entity |
| Predicate | hasPeak |
P8205
|
FINISHED |
| Object |
Kamen Del
Kamen Del is a prominent peak on Bulgaria’s Vitosha Mountain, known for its rocky summit and panoramic views over the city of Sofia.
|
E605366
|
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: Kamen Del | Statement: [Vitosha Mountain, hasPeak, Kamen Del]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamen Del Context triple: [Vitosha Mountain, hasPeak, Kamen Del]
-
A.
Drenala Kitan
Drenala Kitan is a Xelayan relative of security officer Alara Kitan in the science fiction television series "The Orville."
-
B.
Dragomir
Dragomir is a Swedish actor and former criminal best known internationally for his role in the film "Easy Money" and appearances in action movies and TV series.
-
C.
Kamenari
Kamenari is a small coastal village in Montenegro known for its ferry crossing and scenic location on the Bay of Kotor.
-
D.
Darek
Darek is a given name, typically a variant spelling of Derek used in various European countries.
-
E.
Kuzma
Kuzma is a masculine given name of Slavic origin, historically borne by notable figures such as the Russian national hero Kuzma Minin.
- 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: Kamen Del Triple: [Vitosha Mountain, hasPeak, Kamen Del]
Generated description
Kamen Del is a prominent peak on Bulgaria’s Vitosha Mountain, known for its rocky summit and panoramic views over the city of Sofia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kamen Del Target entity description: Kamen Del is a prominent peak on Bulgaria’s Vitosha Mountain, known for its rocky summit and panoramic views over the city of Sofia.
-
A.
Drenala Kitan
Drenala Kitan is a Xelayan relative of security officer Alara Kitan in the science fiction television series "The Orville."
-
B.
Dragomir
Dragomir is a Swedish actor and former criminal best known internationally for his role in the film "Easy Money" and appearances in action movies and TV series.
-
C.
Kamenari
Kamenari is a small coastal village in Montenegro known for its ferry crossing and scenic location on the Bay of Kotor.
-
D.
Darek
Darek is a given name, typically a variant spelling of Derek used in various European countries.
-
E.
Kuzma
Kuzma is a masculine given name of Slavic origin, historically borne by notable figures such as the Russian national hero Kuzma Minin.
- 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.