Triple

T1848353
Position Surface form Disambiguated ID Type / Status
Subject 1. FC Nürnberg E41334 entity
Predicate derby P3425 FINISHED
Object Frankenderby E86754 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: Frankenderby | Statement: [1. FC Nürnberg, derby, Frankenderby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frankenderby
Context triple: [1. FC Nürnberg, derby, Frankenderby]
  • A. Frankenderby chosen
    Frankenderby is the traditional football derby between Franconian clubs, most notably SpVgg Greuther Fürth and 1. FC Nürnberg, known for its intense regional rivalry in northern Bavaria.
  • B. Bardney
    Bardney is a village and civil parish in Lincolnshire, England, known historically for its medieval abbey and its location near the River Witham.
  • C. Frittenden
    Frittenden is a rural village and civil parish in the county of Kent in South East England, known for its historic church and traditional countryside character.
  • D. Sharneyford
    Sharneyford is a small settlement in Lancashire, England, situated within the Rossendale Valley near the border with West Yorkshire.
  • E. Bainsford
    Bainsford is a district in Falkirk, Scotland, historically associated with local industry and early Scottish football.
  • 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_69a88648cd44819093303206d96d76ad completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb05412a08190855ea453d1264ea3 completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9c5852081909e178b7e55c11bc7 completed March 8, 2026, 7:11 p.m.
Created at: March 4, 2026, 7:33 p.m.