Triple
T6542364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vitosha Mountain |
E168320
|
entity |
| Predicate | hasPeak |
P8205
|
FINISHED |
| Object | Cherni Vrah |
E605365
|
NE FINISHED |
How this triple was built (2 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: Cherni Vrah | Statement: [Vitosha Mountain, hasPeak, Cherni Vrah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cherni Vrah Context triple: [Vitosha Mountain, hasPeak, Cherni Vrah]
-
A.
Cherni Vrah
chosen
Cherni Vrah is the summit of Bulgaria’s Vitosha Mountain, a popular hiking destination overlooking the capital city of Sofia.
-
B.
Vradeto
Vradeto is a traditional stone-built mountain village in the Zagori region of Epirus, Greece, known for its dramatic setting and historic Vradeto Steps path.
-
C.
Retvizan
Retvizan was a pre-dreadnought battleship of the Imperial Russian Navy, built in the United States and best known for its service and damage during the Russo-Japanese War, particularly at the Battle of Port Arthur.
-
D.
Limonar
Limonar is a municipality in western Cuba known for its agricultural activities and location within Matanzas Province.
-
E.
Maryina Roshcha
Maryina Roshcha is a Moscow Metro station on the Big Circle Line serving the Maryina Roshcha district in Russia’s capital.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6e41d09488190bda71118c299fd31 |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:50 p.m.