Triple

T9639210
Position Surface form Disambiguated ID Type / Status
Subject Lionel Terray E233016 entity
Predicate climbed P6287 FINISHED
Object Taulliraju
Taulliraju is a striking, steep-sided peak in Peru's Cordillera Blanca, renowned among mountaineers for its technical difficulty and dramatic ice and rock faces.
E811466 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: Taulliraju | Statement: [Lionel Terray, climbed, Taulliraju]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taulliraju
Context triple: [Lionel Terray, climbed, Taulliraju]
  • A. Tialo
    Tialo is an Austronesian language of the Tomini–Tolitoli subgroup spoken in Central Sulawesi, Indonesia.
  • B. Tarauru-Roa
    Tarauru-Roa is one of the islands in the remote Gambier Islands archipelago of French Polynesia in the South Pacific Ocean.
  • C. Tlass
    Tlass is a Syrian family name most prominently associated with Mustafa Tlass, a long-serving defense minister under Hafez al-Assad.
  • D. Tahkuna
    Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
  • E. The Turim
    The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
  • 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: Taulliraju
Triple: [Lionel Terray, climbed, Taulliraju]
Generated description
Taulliraju is a striking, steep-sided peak in Peru's Cordillera Blanca, renowned among mountaineers for its technical difficulty and dramatic ice and rock faces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Taulliraju
Target entity description: Taulliraju is a striking, steep-sided peak in Peru's Cordillera Blanca, renowned among mountaineers for its technical difficulty and dramatic ice and rock faces.
  • A. Tialo
    Tialo is an Austronesian language of the Tomini–Tolitoli subgroup spoken in Central Sulawesi, Indonesia.
  • B. Tarauru-Roa
    Tarauru-Roa is one of the islands in the remote Gambier Islands archipelago of French Polynesia in the South Pacific Ocean.
  • C. Tlass
    Tlass is a Syrian family name most prominently associated with Mustafa Tlass, a long-serving defense minister under Hafez al-Assad.
  • D. Tahkuna
    Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
  • E. The Turim
    The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
  • 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.