Triple

T13388782
Position Surface form Disambiguated ID Type / Status
Subject Toni Krinner E319515 entity
Predicate playedFor P2170 FINISHED
Object EC Bad Nauheim
EC Bad Nauheim is a professional ice hockey club based in Bad Nauheim, Germany, known for competing in the country’s top-tier and second-tier leagues over its history.
E1042112 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: EC Bad Nauheim | Statement: [Toni Krinner, playedFor, EC Bad Nauheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EC Bad Nauheim
Context triple: [Toni Krinner, playedFor, EC Bad Nauheim]
  • A. ESC Wedemark
    ESC Wedemark was a German ice hockey club that later became known as the Hannover Scorpions.
  • B. ESV Kaufbeuren
    ESV Kaufbeuren is a professional ice hockey club based in Kaufbeuren, Germany, competing in the German league system and known for developing notable players such as Oleg Znarok.
  • C. Frankfurt U2
    Frankfurt U2 is a line of the Frankfurt U-Bahn rapid transit system that connects central Frankfurt with its northern suburbs.
  • D. Neusser EV
    Neusser EV is an ice hockey club based in Neuss, Germany, competing in the lower tiers of the German ice hockey league system.
  • E. Bad Nauheim
    Bad Nauheim is a spa town in the German state of Hesse, historically known for its therapeutic mineral springs and health resorts.
  • 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: EC Bad Nauheim
Triple: [Toni Krinner, playedFor, EC Bad Nauheim]
Generated description
EC Bad Nauheim is a professional ice hockey club based in Bad Nauheim, Germany, known for competing in the country’s top-tier and second-tier leagues over its history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: EC Bad Nauheim
Target entity description: EC Bad Nauheim is a professional ice hockey club based in Bad Nauheim, Germany, known for competing in the country’s top-tier and second-tier leagues over its history.
  • A. ESC Wedemark
    ESC Wedemark was a German ice hockey club that later became known as the Hannover Scorpions.
  • B. ESV Kaufbeuren
    ESV Kaufbeuren is a professional ice hockey club based in Kaufbeuren, Germany, competing in the German league system and known for developing notable players such as Oleg Znarok.
  • C. Frankfurt U2
    Frankfurt U2 is a line of the Frankfurt U-Bahn rapid transit system that connects central Frankfurt with its northern suburbs.
  • D. Neusser EV
    Neusser EV is an ice hockey club based in Neuss, Germany, competing in the lower tiers of the German ice hockey league system.
  • E. Bad Nauheim
    Bad Nauheim is a spa town in the German state of Hesse, historically known for its therapeutic mineral springs and health resorts.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dba0d3a40081909ba49556130ad0e7 completed April 12, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7461814dc8190aaaefc648da75246 completed May 3, 2026, 12:56 p.m.
NEDg Description generation batch_69f74c036f708190892c2f8d07ca1971 completed May 3, 2026, 1:22 p.m.
NED2 Entity disambiguation (via description) batch_69f74c616a788190804ae648001f58b8 completed May 3, 2026, 1:23 p.m.
Created at: April 9, 2026, 9:34 p.m.