Triple

T4075492
Position Surface form Disambiguated ID Type / Status
Subject Frankenderby E86754 entity
Predicate featuresClubFrom P52764 FINISHED
Object Fürth E44190 NE FINISHED

How this triple was built (3 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: Fürth | Statement: [Frankenderby, featuresClubFrom, Fürth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fürth
Context triple: [Frankenderby, featuresClubFrom, Fürth]
  • A. Fürth chosen
    Fürth is a historic city in northern Bavaria, Germany, known for its well-preserved old town and proximity to Nuremberg within the Franconian metropolitan region.
  • B. Freyung
    Freyung is a small town in southeastern Bavaria, Germany, known as a gateway to the Bavarian Forest region.
  • C. Idstein
    Idstein is a historic town in the German state of Hesse, known for its well-preserved medieval old town and timber-framed architecture.
  • D. Starnberg
    Starnberg is a lakeside town in Bavaria, Germany, known for its affluent residential character and scenic location on Lake Starnberg southwest of Munich.
  • E. Flumenthal
    Flumenthal is a municipality in the canton of Solothurn in northwestern Switzerland.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featuresClubFrom
Context triple: [Frankenderby, featuresClubFrom, Fürth]
  • A. featuresClubs
    Indicates that something includes or presents one or more clubs as part of its composition, content, or offering.
  • B. featuresPlayer
    Indicates that something includes or prominently presents a particular player as part of its content or composition.
  • C. featuresFranchise
    Indicates that one entity includes or presents a particular franchise as part of its content, offering, or composition.
  • D. featuresPlayersFrom
    Indicates that something (such as a work, event, or production) includes or showcases players originating from a specified source, group, or location.
  • E. refersToClubFrom chosen
    Indicates that one entity is referencing or pointing to a specific club as its related or associated club.
  • F. None of above.

Provenance (4 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_69aed93ebe448190a1f1686e28740ac9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc25e2e08190b3c048e1b8f85bbf completed March 9, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b595fb203881909a11e9f77aa88ebd completed March 14, 2026, 5:08 p.m.
PD Predicate disambiguation batch_69aef9082c2081908474f082a49bebc8 completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:39 p.m.