Triple

T4789059
Position Surface form Disambiguated ID Type / Status
Subject Glacier de Taconnaz E106556 entity
Predicate namedAfter P63 FINISHED
Object Taconnaz
Taconnaz is a locality in the Chamonix valley of the French Alps, known for giving its name to the nearby Glacier de Taconnaz.
 E471435 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: Taconnaz | Statement: [Glacier de Taconnaz, namedAfter, Taconnaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Taconnaz
Context triple: [Glacier de Taconnaz, namedAfter, Taconnaz]
  • A. Ozanne
    Ozanne is a river in France that serves as a right-bank tributary of the Loir.
  • B. Nantz
    Nantz is the surname of Jim Nantz, a prominent American sportscaster best known for his long-running work with CBS Sports covering events like the NFL, NCAA basketball, and The Masters.
  • C. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • D. Corrsin
    Corrsin is a surname most notably associated with Stanley Corrsin, an influential American fluid dynamicist known for his work on turbulence.
  • E. Chenault
    Chenault is a free-spirited, alluring young woman who becomes the love interest of journalist Paul Kemp in Hunter S. Thompson’s novel (and film adaptation) *The Rum Diary*.
  • 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: Taconnaz
Triple: [Glacier de Taconnaz, namedAfter, Taconnaz]
Generated description
Taconnaz is a locality in the Chamonix valley of the French Alps, known for giving its name to the nearby Glacier de Taconnaz.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Taconnaz
Target entity description: Taconnaz is a locality in the Chamonix valley of the French Alps, known for giving its name to the nearby Glacier de Taconnaz.
  • A. Ozanne
    Ozanne is a river in France that serves as a right-bank tributary of the Loir.
  • B. Nantz
    Nantz is the surname of Jim Nantz, a prominent American sportscaster best known for his long-running work with CBS Sports covering events like the NFL, NCAA basketball, and The Masters.
  • C. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • D. Corrsin
    Corrsin is a surname most notably associated with Stanley Corrsin, an influential American fluid dynamicist known for his work on turbulence.
  • E. Chenault
    Chenault is a free-spirited, alluring young woman who becomes the love interest of journalist Paul Kemp in Hunter S. Thompson’s novel (and film adaptation) *The Rum Diary*.
  • 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_69bd43f4a9588190bf73e20bc27c03cc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65db847081908f5456724a2bdc65 completed March 20, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d96f7e88190be4ba5c7ceb07608 completed March 21, 2026, 7:49 a.m.
NEDg Description generation batch_69be4e764b60819097aace8e7321dc0c completed March 21, 2026, 7:53 a.m.
NED2 Entity disambiguation (via description) batch_69be4ef501e081908a75547e9bb52c0c completed March 21, 2026, 7:55 a.m.
Created at: March 20, 2026, 1:22 p.m.