Triple

T9827178
Position Surface form Disambiguated ID Type / Status
Subject Museum für Moderne Kunst Frankfurt E238685 entity
Predicate nickname P55 FINISHED
Object Tortenstück
Tortenstück is the popular nickname for Frankfurt’s Museum für Moderne Kunst, known for its distinctive triangular, cake-slice-shaped architecture.
 E823014 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: Tortenstück | Statement: [Museum für Moderne Kunst Frankfurt, nickname, Tortenstück]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tortenstück
Context triple: [Museum für Moderne Kunst Frankfurt, nickname, Tortenstück]
  • A. Rosaroll
    Rosaroll was an Italian Philhellene and military figure known for supporting the Greek War of Independence in the early 19th century.
  • B. Las Galletas
    Las Galletas is a small coastal resort town in southern Tenerife, Spain, known for its fishing harbor, relaxed atmosphere, and oceanfront promenades.
  • C. The Pie
    The Pie is the spirited horse ridden by Velvet Brown in the classic novel and film "National Velvet."
  • D. Lokma
    Lokma is a traditional Turkish dessert consisting of small deep-fried dough balls soaked in syrup, often served at celebrations and communal events.
  • E. Zuckerhütl
    Zuckerhütl is a prominent mountain peak in the Austrian Tyrol, renowned among alpinists as the highest summit of the Stubai Alps.
  • 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: Tortenstück
Triple: [Museum für Moderne Kunst Frankfurt, nickname, Tortenstück]
Generated description
Tortenstück is the popular nickname for Frankfurt’s Museum für Moderne Kunst, known for its distinctive triangular, cake-slice-shaped architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tortenstück
Target entity description: Tortenstück is the popular nickname for Frankfurt’s Museum für Moderne Kunst, known for its distinctive triangular, cake-slice-shaped architecture.
  • A. Rosaroll
    Rosaroll was an Italian Philhellene and military figure known for supporting the Greek War of Independence in the early 19th century.
  • B. Las Galletas
    Las Galletas is a small coastal resort town in southern Tenerife, Spain, known for its fishing harbor, relaxed atmosphere, and oceanfront promenades.
  • C. The Pie
    The Pie is the spirited horse ridden by Velvet Brown in the classic novel and film "National Velvet."
  • D. Lokma
    Lokma is a traditional Turkish dessert consisting of small deep-fried dough balls soaked in syrup, often served at celebrations and communal events.
  • E. Zuckerhütl
    Zuckerhütl is a prominent mountain peak in the Austrian Tyrol, renowned among alpinists as the highest summit of the Stubai Alps.
  • 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_69ca84e0dd1881909800765d1e21f735 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb324e7848190b9424a78ca653afe completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc88a86c819088f259a049eec4db completed April 5, 2026, 2:44 a.m.
NEDg Description generation batch_69d1cdba64d08190bf0b83d419c4461b completed April 5, 2026, 2:49 a.m.
NED2 Entity disambiguation (via description) batch_69d1ce526a2c819098b103ad83c19445 completed April 5, 2026, 2:52 a.m.
Created at: March 30, 2026, 8:32 p.m.