Triple

T13388758
Position Surface form Disambiguated ID Type / Status
Subject Hans Zach E319514 entity
Predicate coachedTeam P2169 FINISHED
Object DEG Metro Stars E421969 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: DEG Metro Stars | Statement: [Hans Zach, coachedTeam, DEG Metro Stars]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DEG Metro Stars
Context triple: [Hans Zach, coachedTeam, DEG Metro Stars]
  • A. DEG Metro Stars chosen
    DEG Metro Stars is the professional ice hockey team from Düsseldorf, Germany, competing in the country’s top-tier league and known historically as Düsseldorfer EG.
  • B. MG Metro
    The MG Metro is a performance-oriented small hatchback produced by MG in the 1980s as a sportier, tuned version of the Austin/Rover Metro.
  • C. Motorcity
    Motorcity is an animated television series set in a futuristic Detroit where a group of rebels fights against an oppressive corporate regime.
  • D. METRO
    METRO is the public-facing brand name used by Metro Transit for its network of buses, trains, and other mass transportation services.
  • E. Metro S.A.
    Metro S.A. is the state-owned company responsible for managing and operating the Santiago Metro system in Chile’s capital city.
  • 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_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_69f72691c8d08190b971d7e914863cc1 completed May 3, 2026, 10:42 a.m.
Created at: April 9, 2026, 9:34 p.m.