Triple

T6567748
Position Surface form Disambiguated ID Type / Status
Subject Shkhara E153953 entity
Predicate alsoKnownAs P39 FINISHED
Object Shchara
Shchara is an alternate name for Shkhara, one of the highest and most prominent peaks in the Caucasus Mountains of Georgia.
 E603100 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: Shchara | Statement: [Shkhara, alsoKnownAs, Shchara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shchara
Context triple: [Shkhara, alsoKnownAs, Shchara]
  • A. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • B. Chára
    Chára is a Slovak surname most prominently associated with Zdeno Chára, the towering NHL defenseman and Stanley Cup champion.
  • C. Yasa'ur
    Yasa'ur was a Mongol prince and military leader who played a significant role in the politics and conflicts of the Chagatai Khanate during the early 14th century.
  • D. Kirsha
    Kirsha is a central character in Naguib Mahfouz’s novel "Midaq Alley," known as the café owner whose personal life and hidden desires reflect the social and moral tensions of mid-20th-century Cairo.
  • E. Gararu
    Gararu is a municipality in the Brazilian state of Sergipe, located in the semi-arid interior region known for its rural economy and proximity to the São Francisco River.
  • 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: Shchara
Triple: [Shkhara, alsoKnownAs, Shchara]
Generated description
Shchara is an alternate name for Shkhara, one of the highest and most prominent peaks in the Caucasus Mountains of Georgia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shchara
Target entity description: Shchara is an alternate name for Shkhara, one of the highest and most prominent peaks in the Caucasus Mountains of Georgia.
  • A. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • B. Chára
    Chára is a Slovak surname most prominently associated with Zdeno Chára, the towering NHL defenseman and Stanley Cup champion.
  • C. Yasa'ur
    Yasa'ur was a Mongol prince and military leader who played a significant role in the politics and conflicts of the Chagatai Khanate during the early 14th century.
  • D. Kirsha
    Kirsha is a central character in Naguib Mahfouz’s novel "Midaq Alley," known as the café owner whose personal life and hidden desires reflect the social and moral tensions of mid-20th-century Cairo.
  • E. Gararu
    Gararu is a municipality in the Brazilian state of Sergipe, located in the semi-arid interior region known for its rural economy and proximity to the São Francisco River.
  • 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.