Triple

T4861902
Position Surface form Disambiguated ID Type / Status
Subject Elfriede Jelinek E108679 entity
Predicate placeOfBirth P1 FINISHED
Object Mürzzuschlag
Mürzzuschlag is a small Austrian town in the state of Styria, known historically for its iron industry and as a winter sports and railway hub in the Eastern Alps.
E474492 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: Mürzzuschlag | Statement: [Elfriede Jelinek, placeOfBirth, Mürzzuschlag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mürzzuschlag
Context triple: [Elfriede Jelinek, placeOfBirth, Mürzzuschlag]
  • A. Schnaittach
    Schnaittach is a river in Bavaria, Germany, that serves as a tributary of the Pegnitz River.
  • B. Stölzl
    Stölzl is a German surname most notably associated with Gunta Stölzl, a pioneering textile artist and master at the Bauhaus.
  • C. Marchfeld
    Marchfeld is a fertile lowland region in eastern Austria known for its intensive agriculture and vegetable production.
  • D. Schreckfirn
    Schreckfirn is a glacier in the Bernese Alps of Switzerland, lying on the slopes of the Schreckhorn.
  • E. Mossenberg-Wöhren
    Mossenberg-Wöhren is a small village in North Rhine-Westphalia, Germany, known primarily as the birthplace of former German chancellor Gerhard Schröder.
  • 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: Mürzzuschlag
Triple: [Elfriede Jelinek, placeOfBirth, Mürzzuschlag]
Generated description
Mürzzuschlag is a small Austrian town in the state of Styria, known historically for its iron industry and as a winter sports and railway hub in the Eastern Alps.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mürzzuschlag
Target entity description: Mürzzuschlag is a small Austrian town in the state of Styria, known historically for its iron industry and as a winter sports and railway hub in the Eastern Alps.
  • A. Schnaittach
    Schnaittach is a river in Bavaria, Germany, that serves as a tributary of the Pegnitz River.
  • B. Stölzl
    Stölzl is a German surname most notably associated with Gunta Stölzl, a pioneering textile artist and master at the Bauhaus.
  • C. Marchfeld
    Marchfeld is a fertile lowland region in eastern Austria known for its intensive agriculture and vegetable production.
  • D. Schreckfirn
    Schreckfirn is a glacier in the Bernese Alps of Switzerland, lying on the slopes of the Schreckhorn.
  • E. Mossenberg-Wöhren
    Mossenberg-Wöhren is a small village in North Rhine-Westphalia, Germany, known primarily as the birthplace of former German chancellor Gerhard Schröder.
  • 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_69bd440b965081908b0557721cae6338 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d5f62b48190b367ed1b850cfbcb completed March 20, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cf921cc8190a092bb69c1981890 completed March 21, 2026, 8:55 a.m.
NEDg Description generation batch_69be5e833ca88190b89dda5cafb180fe completed March 21, 2026, 9:01 a.m.
NED2 Entity disambiguation (via description) batch_69be5eed97a08190afd99a0700f1f4c7 completed March 21, 2026, 9:03 a.m.
Created at: March 20, 2026, 1:26 p.m.