Triple

T3498202
Position Surface form Disambiguated ID Type / Status
Subject Alpes-Maritimes E73900 entity
Predicate containsSkiResort P10436 FINISHED
Object Auron
Auron is a French ski resort village in the southern Alps known for its extensive slopes and proximity to Nice.
 E362759 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: Auron | Statement: [Alpes-Maritimes, containsSkiResort, Auron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Auron
Context triple: [Alpes-Maritimes, containsSkiResort, Auron]
  • A. Auron
    Auron is a river in central France that flows through the Cher department and joins the Yèvre near the city of Bourges.
  • B. Talon
    Talon is the bald eagle mascot of Major League Soccer club D.C. United, known for representing the team's fierce and patriotic spirit.
  • C. Nelion
    Nelion is one of the main twin summits of Mount Kenya, renowned among climbers for its challenging rock routes and high-altitude alpine terrain.
  • D. Aletes
    Aletes is a figure from Greek mythology, traditionally regarded as a descendant of Heracles and associated with the royal lineage that ruled parts of the Peloponnese.
  • E. Orsa
    Orsa is a small locality and municipality in central Sweden known for its forests, lakes, and traditional Dalarna culture.
  • 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: Auron
Triple: [Alpes-Maritimes, containsSkiResort, Auron]
Generated description
Auron is a French ski resort village in the southern Alps known for its extensive slopes and proximity to Nice.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Auron
Target entity description: Auron is a French ski resort village in the southern Alps known for its extensive slopes and proximity to Nice.
  • A. Auron
    Auron is a river in central France that flows through the Cher department and joins the Yèvre near the city of Bourges.
  • B. Talon
    Talon is the bald eagle mascot of Major League Soccer club D.C. United, known for representing the team's fierce and patriotic spirit.
  • C. Nelion
    Nelion is one of the main twin summits of Mount Kenya, renowned among climbers for its challenging rock routes and high-altitude alpine terrain.
  • D. Aletes
    Aletes is a figure from Greek mythology, traditionally regarded as a descendant of Heracles and associated with the royal lineage that ruled parts of the Peloponnese.
  • E. Orsa
    Orsa is a small locality and municipality in central Sweden known for its forests, lakes, and traditional Dalarna culture.
  • 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_69ad85cdb6e48190a335d412b9194ed8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbd299ec8190b76b165b2fd70537 completed March 8, 2026, 6:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373d011c0819088245afe03be3c44 completed March 13, 2026, 2:17 a.m.
NEDg Description generation batch_69b3745c7304819085a47af79cd738c0 completed March 13, 2026, 2:20 a.m.
NED2 Entity disambiguation (via description) batch_69b374f5999c8190ae48570a412dc6dc completed March 13, 2026, 2:22 a.m.
Created at: March 8, 2026, 3:18 p.m.