Triple

T9639209
Position Surface form Disambiguated ID Type / Status
Subject Lionel Terray E233016 entity
Predicate climbed P6287 FINISHED
Object Chacraraju
Chacraraju is a steep, technically challenging mountain in Peru's Cordillera Blanca range, renowned among alpinists for its difficult ice and mixed climbing routes.
 E811465 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: Chacraraju | Statement: [Lionel Terray, climbed, Chacraraju]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chacraraju
Context triple: [Lionel Terray, climbed, Chacraraju]
  • A. Lajeado
    Lajeado is a city in southern Brazil known for its strong German-Brazilian cultural heritage and traditions.
  • B. Cascavel
    Cascavel is a major city in western Paraná, Brazil, known as an important regional hub for agribusiness, commerce, and services.
  • C. Magé
    Magé is a municipality in the state of Rio de Janeiro, Brazil, located in the metropolitan region of Rio de Janeiro and known for its coastal setting and historical significance.
  • D. Caranavi
    Caranavi is a Bolivian town known as a key coffee-growing and agricultural hub in the Yungas region.
  • E. Chaca
    Chaca is a genus of freshwater catfish known for its flattened body, large mouth, and bottom-dwelling, ambush-predator lifestyle in South and Southeast Asian waters.
  • 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: Chacraraju
Triple: [Lionel Terray, climbed, Chacraraju]
Generated description
Chacraraju is a steep, technically challenging mountain in Peru's Cordillera Blanca range, renowned among alpinists for its difficult ice and mixed climbing routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chacraraju
Target entity description: Chacraraju is a steep, technically challenging mountain in Peru's Cordillera Blanca range, renowned among alpinists for its difficult ice and mixed climbing routes.
  • A. Lajeado
    Lajeado is a city in southern Brazil known for its strong German-Brazilian cultural heritage and traditions.
  • B. Cascavel
    Cascavel is a major city in western Paraná, Brazil, known as an important regional hub for agribusiness, commerce, and services.
  • C. Magé
    Magé is a municipality in the state of Rio de Janeiro, Brazil, located in the metropolitan region of Rio de Janeiro and known for its coastal setting and historical significance.
  • D. Caranavi
    Caranavi is a Bolivian town known as a key coffee-growing and agricultural hub in the Yungas region.
  • E. Chaca
    Chaca is a genus of freshwater catfish known for its flattened body, large mouth, and bottom-dwelling, ambush-predator lifestyle in South and Southeast Asian waters.
  • 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_69ca848a5a908190aad251f4137b0c3a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b532aa4819087b56be6f5635126 completed April 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18243cfdc81908ecdf039c38de478 completed April 4, 2026, 9:27 p.m.
NEDg Description generation batch_69d182cb723881909f29b6a875e99da1 completed April 4, 2026, 9:29 p.m.
NED2 Entity disambiguation (via description) batch_69d1833692788190990ad426b6502488 completed April 4, 2026, 9:31 p.m.
Created at: March 30, 2026, 8:12 p.m.