Triple

T4298574
Position Surface form Disambiguated ID Type / Status
Subject Hautes-Alpes E99775 entity
Predicate contains P35 FINISHED
Object Risoul
Risoul is a French alpine ski resort and commune known for its extensive slopes and scenic location in the southern Alps.
E429937 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: Risoul | Statement: [Hautes-Alpes, contains, Risoul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Risoul
Context triple: [Hautes-Alpes, contains, Risoul]
  • A. Shinkiari
    Shinkiari is a town in Pakistan’s Khyber Pakhtunkhwa province, known for its agricultural surroundings and its location along the Karakoram Highway near Mansehra.
  • B. Rinshi
    Rinshi was a noblewoman of Japan’s Heian period and the principal wife of the powerful court regent Fujiwara no Michinaga.
  • C. Munefusa
    Munefusa is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and travel writer.
  • D. Durosoke
    Durosoke is a popular Yoruba-language hip-hop single by Nigerian rapper Olamide, known for its catchy delivery and street-inspired lyrics.
  • E. Koromo
    Koromo was the former name of what is now Toyota City in Aichi Prefecture, Japan, historically known as a regional center before becoming synonymous with the Toyota automobile company.
  • 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: Risoul
Triple: [Hautes-Alpes, contains, Risoul]
Generated description
Risoul is a French alpine ski resort and commune known for its extensive slopes and scenic location in the southern Alps.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Risoul
Target entity description: Risoul is a French alpine ski resort and commune known for its extensive slopes and scenic location in the southern Alps.
  • A. Shinkiari
    Shinkiari is a town in Pakistan’s Khyber Pakhtunkhwa province, known for its agricultural surroundings and its location along the Karakoram Highway near Mansehra.
  • B. Rinshi
    Rinshi was a noblewoman of Japan’s Heian period and the principal wife of the powerful court regent Fujiwara no Michinaga.
  • C. Munefusa
    Munefusa is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and travel writer.
  • D. Durosoke
    Durosoke is a popular Yoruba-language hip-hop single by Nigerian rapper Olamide, known for its catchy delivery and street-inspired lyrics.
  • E. Koromo
    Koromo was the former name of what is now Toyota City in Aichi Prefecture, Japan, historically known as a regional center before becoming synonymous with the Toyota automobile company.
  • 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_69b3455175088190aa79c6e03b86647e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3509d39348190aa83304661230cba completed March 12, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c746c9108190a1a81e94b4768f3c completed March 14, 2026, 8:38 p.m.
NEDg Description generation batch_69b5c929aec48190bb9a00b7086afe01 completed March 14, 2026, 8:46 p.m.
NED2 Entity disambiguation (via description) batch_69b5c993a9388190a52e573b013dbe29 completed March 14, 2026, 8:48 p.m.
Created at: March 12, 2026, 11:08 p.m.