Triple

T14756169
Position Surface form Disambiguated ID Type / Status
Subject Richard Lintner E346733 entity
Predicate playedFor P2170 FINISHED
Object ERC Ingolstadt E90495 NE FINISHED

How this triple was built (2 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: ERC Ingolstadt | Statement: [Richard Lintner, playedFor, ERC Ingolstadt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ERC Ingolstadt
Context triple: [Richard Lintner, playedFor, ERC Ingolstadt]
  • A. ERC Ingolstadt chosen
    ERC Ingolstadt is a professional ice hockey club from Ingolstadt, Germany, known for competing at the top level of German ice hockey and winning the DEL championship in 2014.
  • B. TH Karlsruhe
    TH Karlsruhe is the traditional abbreviation for the University of Karlsruhe, a prominent German technical university known for its engineering and technology programs.
  • C. MTU München
    MTU München was the original company from which MTU Aero Engines emerged, serving as a key German manufacturer in the aerospace and engine industry.
  • D. HdM Stuttgart
    HdM Stuttgart is a German university of applied sciences in Stuttgart specializing in media, communication, information, and digital technologies.
  • E. 1. FC Nürnberg
    1. FC Nürnberg is a historic German football club based in Nuremberg, known for its multiple national championships and strong traditional fan base.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7ef0fd48190bd4a8af128ef274c completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb9e1b8481909abea3daabe91302 completed May 8, 2026, 3:05 p.m.
Created at: April 10, 2026, 1:30 a.m.