Triple

T11834140
Position Surface form Disambiguated ID Type / Status
Subject Mainz 05 E281471 entity
Predicate shortName P43 FINISHED
Object Mainz 05 E281471 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: Mainz 05 | Statement: [Mainz 05, shortName, Mainz 05]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mainz 05
Context triple: [Mainz 05, shortName, Mainz 05]
  • A. Mainz 05 chosen
    Mainz 05 is a German professional football club based in Mainz, best known for competing in the Bundesliga and having a passionate fan culture.
  • B. Meidericher Spielverein 02
    Meidericher Spielverein 02 is a German football club from Duisburg, best known today under its later name MSV Duisburg, which has competed for many years in the country’s professional leagues.
  • C. Frankfurt U9
    Frankfurt U9 is a line of the Frankfurt U-Bahn rapid transit network in Frankfurt am Main, Germany.
  • D. Frankfurt U2
    Frankfurt U2 is a line of the Frankfurt U-Bahn rapid transit system that connects central Frankfurt with its northern suburbs.
  • E. SV Meppen
    SV Meppen is a German football club best known for its long-standing presence in the lower professional tiers, particularly the 2. Bundesliga, and its strong regional fan base in Lower Saxony.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a62e7e408190998bebe346c82e89 completed April 10, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69f16753f4f88190940e53312aff4333 completed April 29, 2026, 2:05 a.m.
Created at: April 8, 2026, 9:43 p.m.