Triple
T6567749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shkhara |
E153953
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Шхара
Шхара — одна из самых высоких вершин Кавказа и высшая точка Грузии, расположенная в массиве Большого Кавказского хребта.
|
E603101
|
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: Шхара | Statement: [Shkhara, alsoKnownAs, Шхара]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Шхара Context triple: [Shkhara, alsoKnownAs, Шхара]
-
A.
Puluwat
Puluwat is a small atoll in the Federated States of Micronesia known for its traditional navigation practices and Micronesian culture.
-
B.
Šolta
Šolta is a small Croatian island in the Adriatic Sea, known for its tranquil villages, olive groves, and clear bays, located just off the coast from the city of Split.
-
C.
Wyspa Tamka
Wyspa Tamka is a small island on the Oder River in Wrocław, Poland, known for its riverside location and role in the city’s network of river islands and bridges.
-
D.
Wadska
Wadska is a central character in the series "Good Vibes," known for his laid-back, comedic personality within the show's ensemble cast.
-
E.
Wyspa Piasek
Wyspa Piasek is a river island on the Oder in Wrocław, Poland, known for its historic churches and picturesque riverside setting.
- 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: Шхара Triple: [Shkhara, alsoKnownAs, Шхара]
Generated description
Шхара — одна из самых высоких вершин Кавказа и высшая точка Грузии, расположенная в массиве Большого Кавказского хребта.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Шхара Target entity description: Шхара — одна из самых высоких вершин Кавказа и высшая точка Грузии, расположенная в массиве Большого Кавказского хребта.
-
A.
Puluwat
Puluwat is a small atoll in the Federated States of Micronesia known for its traditional navigation practices and Micronesian culture.
-
B.
Šolta
Šolta is a small Croatian island in the Adriatic Sea, known for its tranquil villages, olive groves, and clear bays, located just off the coast from the city of Split.
-
C.
Wyspa Tamka
Wyspa Tamka is a small island on the Oder River in Wrocław, Poland, known for its riverside location and role in the city’s network of river islands and bridges.
-
D.
Wadska
Wadska is a central character in the series "Good Vibes," known for his laid-back, comedic personality within the show's ensemble cast.
-
E.
Wyspa Piasek
Wyspa Piasek is a river island on the Oder in Wrocław, Poland, known for its historic churches and picturesque riverside setting.
- 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_69c6880cb35881909b763eb0125236b9 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae54afd4819091ee65aca1de60a9 |
completed | March 27, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d564cb908190bb8885e6c8d8abac |
completed | March 27, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69c6d676e43081909bf2a9cceff0b9b3 |
completed | March 27, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d843bad081909ebb887f32ea4195 |
completed | March 27, 2026, 7:19 p.m. |
Created at: March 27, 2026, 1:53 p.m.