Triple

T6683168
Position Surface form Disambiguated ID Type / Status
Subject Papiermark E152035 entity
Predicate alsoKnownAs P39 FINISHED
Object paper mark
The paper mark (Papiermark) was the German currency used during and after World War I, notorious for its extreme hyperinflation in the early 1920s.
E612263 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: paper mark | Statement: [Papiermark, alsoKnownAs, paper mark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: paper mark
Context triple: [Papiermark, alsoKnownAs, paper mark]
  • A. Papel
    Papel is an indigenous language of Guinea-Bissau spoken primarily by the Papel people in the coastal regions around Bissau.
  • B. Liquid Paper
    Liquid Paper is a popular correction fluid product used to cover and correct handwritten or typed errors on paper.
  • C. The Paper
    The Paper is a 1994 American comedy-drama film directed by Ron Howard that follows the hectic, deadline-driven day at a New York City tabloid newspaper.
  • D. Pades
    Pades is a village in northwestern Greece located in the mountainous region near Mount Smolikas.
  • E. Paper Scratcher
    "Paper Scratcher" is a Magic: The Gathering trading card featured in the Classic Masters set.
  • 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: paper mark
Triple: [Papiermark, alsoKnownAs, paper mark]
Generated description
The paper mark (Papiermark) was the German currency used during and after World War I, notorious for its extreme hyperinflation in the early 1920s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: paper mark
Target entity description: The paper mark (Papiermark) was the German currency used during and after World War I, notorious for its extreme hyperinflation in the early 1920s.
  • A. Papel
    Papel is an indigenous language of Guinea-Bissau spoken primarily by the Papel people in the coastal regions around Bissau.
  • B. Liquid Paper
    Liquid Paper is a popular correction fluid product used to cover and correct handwritten or typed errors on paper.
  • C. The Paper
    The Paper is a 1994 American comedy-drama film directed by Ron Howard that follows the hectic, deadline-driven day at a New York City tabloid newspaper.
  • D. Pades
    Pades is a village in northwestern Greece located in the mountainous region near Mount Smolikas.
  • E. Paper Scratcher
    "Paper Scratcher" is a Magic: The Gathering trading card featured in the Classic Masters set.
  • 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_69c687f9977c819097e7f5ada4fe522e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b1214f648190849c655b1e52d473 completed March 27, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7ac6714819081966dea66b590c1 completed March 27, 2026, 9:33 p.m.
NEDg Description generation batch_69c6fa1afd7081908c45b5a4f1f4d117 completed March 27, 2026, 9:43 p.m.
NED2 Entity disambiguation (via description) batch_69c6faa38df0819095d1479ccab03c56 completed March 27, 2026, 9:46 p.m.
Created at: March 27, 2026, 2:04 p.m.