Triple

T3923433
Position Surface form Disambiguated ID Type / Status
Subject Blüemlisalp E93214 entity
Predicate hasPart P35 FINISHED
Object Wildi Frau
Wildi Frau is a prominent peak in the Bernese Alps of Switzerland, forming part of the Blüemlisalp massif and known for its glaciated, rugged terrain.
E400294 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: Wildi Frau | Statement: [Blüemlisalp, hasPart, Wildi Frau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wildi Frau
Context triple: [Blüemlisalp, hasPart, Wildi Frau]
  • A. Berta
    Berta is a fictional character in Paulo Coelho’s novel "The Devil and Miss Prym," serving as one of the villagers whose life and choices reflect the book’s central moral and spiritual dilemmas.
  • B. Berta
    Berta is a Nilo-Saharan language spoken primarily in parts of Sudan and Ethiopia.
  • C. Baerbel
    Baerbel is a feminine given name of German origin, commonly used as an alternative spelling of Bärbel.
  • D. Odile
    Odile is the seductive and deceptive Black Swan character in the ballet "Swan Lake," often portrayed as the antagonist and foil to the virtuous Odette.
  • E. Wilella
    Wilella is the full given name of American novelist Willa Cather, renowned for her works depicting frontier life on the Great Plains.
  • 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: Wildi Frau
Triple: [Blüemlisalp, hasPart, Wildi Frau]
Generated description
Wildi Frau is a prominent peak in the Bernese Alps of Switzerland, forming part of the Blüemlisalp massif and known for its glaciated, rugged terrain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wildi Frau
Target entity description: Wildi Frau is a prominent peak in the Bernese Alps of Switzerland, forming part of the Blüemlisalp massif and known for its glaciated, rugged terrain.
  • A. Berta
    Berta is a fictional character in Paulo Coelho’s novel "The Devil and Miss Prym," serving as one of the villagers whose life and choices reflect the book’s central moral and spiritual dilemmas.
  • B. Berta
    Berta is a Nilo-Saharan language spoken primarily in parts of Sudan and Ethiopia.
  • C. Baerbel
    Baerbel is a feminine given name of German origin, commonly used as an alternative spelling of Bärbel.
  • D. Odile
    Odile is the seductive and deceptive Black Swan character in the ballet "Swan Lake," often portrayed as the antagonist and foil to the virtuous Odette.
  • E. Wilella
    Wilella is the full given name of American novelist Willa Cather, renowned for her works depicting frontier life on the Great Plains.
  • 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_69aed96bfa1081908f7b30f2c647dee6 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeed7c2c848190a6d62e2df9b942d4 completed March 9, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b52870268881908463e30c11cda797 completed March 14, 2026, 9:20 a.m.
NEDg Description generation batch_69b52c3d0c0481909e869cf88e3f8a9d completed March 14, 2026, 9:37 a.m.
NED2 Entity disambiguation (via description) batch_69b52cb30f5c819095ac6e101a14b880 completed March 14, 2026, 9:38 a.m.
Created at: March 9, 2026, 3:23 p.m.