Triple

T4466572
Position Surface form Disambiguated ID Type / Status
Subject Rutor massif E98392 entity
Predicate separates P1175 FINISHED
Object Valgrisenche
Valgrisenche is a remote alpine valley and commune in Italy’s Aosta Valley region, known for its high mountains, dammed lake, and opportunities for skiing and mountaineering.
E442377 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: Valgrisenche | Statement: [Rutor massif, separates, Valgrisenche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valgrisenche
Context triple: [Rutor massif, separates, Valgrisenche]
  • A. Vingrau
    Vingrau is a small commune in southern France’s Pyrénées-Orientales department, known for its wine production and scenic location amid rugged limestone hills.
  • B. Valvins
    Valvins is a small village in northern France best known as the place where the symbolist poet Stéphane Mallarmé spent his final years and died.
  • C. Levasy
    Levasy is a small city located in Jackson County in the U.S. state of Missouri.
  • D. Sardoal
    Sardoal is a small Portuguese municipality known for its historic village center and traditional religious and cultural festivities, located in the Centro Region of Portugal.
  • E. Vallentuna
    Vallentuna is a locality in Stockholm County, Sweden, known as a suburban community within the Stockholm metropolitan area.
  • 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: Valgrisenche
Triple: [Rutor massif, separates, Valgrisenche]
Generated description
Valgrisenche is a remote alpine valley and commune in Italy’s Aosta Valley region, known for its high mountains, dammed lake, and opportunities for skiing and mountaineering.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Valgrisenche
Target entity description: Valgrisenche is a remote alpine valley and commune in Italy’s Aosta Valley region, known for its high mountains, dammed lake, and opportunities for skiing and mountaineering.
  • A. Vingrau
    Vingrau is a small commune in southern France’s Pyrénées-Orientales department, known for its wine production and scenic location amid rugged limestone hills.
  • B. Valvins
    Valvins is a small village in northern France best known as the place where the symbolist poet Stéphane Mallarmé spent his final years and died.
  • C. Levasy
    Levasy is a small city located in Jackson County in the U.S. state of Missouri.
  • D. Sardoal
    Sardoal is a small Portuguese municipality known for its historic village center and traditional religious and cultural festivities, located in the Centro Region of Portugal.
  • E. Vallentuna
    Vallentuna is a locality in Stockholm County, Sweden, known as a suburban community within the Stockholm metropolitan area.
  • 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_69b3454b4ae481908967426dd37284d6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356991a588190be2f95fd957d7f99 completed March 13, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69b62860151c8190b43465537b154f00 completed March 15, 2026, 3:32 a.m.
NEDg Description generation batch_69b62c3bf15c8190826f93c4c43733e6 completed March 15, 2026, 3:49 a.m.
NED2 Entity disambiguation (via description) batch_69b62cbaef8c8190b5d89a607c76eaf7 completed March 15, 2026, 3:51 a.m.
Created at: March 12, 2026, 11:34 p.m.