Triple

T879824
Position Surface form Disambiguated ID Type / Status
Subject Mont Blanc massif E19000 entity
Predicate contains P35 FINISHED
Object Frêney face
Frêney face is a steep, legendary alpine wall on the south side of the Mont Blanc massif, renowned for its challenging and committing climbing routes.
E102841 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: Frêney face | Statement: [Mont Blanc massif, contains, Frêney face]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frêney face
Context triple: [Mont Blanc massif, contains, Frêney face]
  • A. Foix
    Foix is a historic town in southwestern France known for its medieval castle and role as the former capital of the County of Foix.
  • B. Fay
    Fay is a given name most famously associated with Canadian-American actress Fay Wray, the iconic star of the 1933 film "King Kong."
  • C. Gautreau
    Gautreau is the surname of Virginie Amélie Avegno Gautreau, the New Orleans–born socialite best known as the subject of John Singer Sargent’s famous painting "Portrait of Madame X."
  • D. Dardagny
    Dardagny is a rural Swiss municipality known for its vineyards and scenic landscapes in the western part of the canton of Geneva.
  • E. Fampyra
    Fampyra is a prescription medication (prolonged-release fampridine) used to improve walking in adults with multiple sclerosis.
  • 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: Frêney face
Triple: [Mont Blanc massif, contains, Frêney face]
Generated description
Frêney face is a steep, legendary alpine wall on the south side of the Mont Blanc massif, renowned for its challenging and committing climbing routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Frêney face
Target entity description: Frêney face is a steep, legendary alpine wall on the south side of the Mont Blanc massif, renowned for its challenging and committing climbing routes.
  • A. Foix
    Foix is a historic town in southwestern France known for its medieval castle and role as the former capital of the County of Foix.
  • B. Fay
    Fay is a given name most famously associated with Canadian-American actress Fay Wray, the iconic star of the 1933 film "King Kong."
  • C. Gautreau
    Gautreau is the surname of Virginie Amélie Avegno Gautreau, the New Orleans–born socialite best known as the subject of John Singer Sargent’s famous painting "Portrait of Madame X."
  • D. Dardagny
    Dardagny is a rural Swiss municipality known for its vineyards and scenic landscapes in the western part of the canton of Geneva.
  • E. Fampyra
    Fampyra is a prescription medication (prolonged-release fampridine) used to improve walking in adults with multiple sclerosis.
  • 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_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4acc9d5f4819087afbb75b6ac3dbf completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b85630f081909f3a912d54dd328c completed March 4, 2026, 4:43 a.m.
NEDg Description generation batch_69a7b8de773c8190a993b057dfe3693e completed March 4, 2026, 4:45 a.m.
NED2 Entity disambiguation (via description) batch_69a7b9793dd48190869b3499fe170efd completed March 4, 2026, 4:47 a.m.
Created at: March 1, 2026, 7:39 p.m.