Triple

T9630686
Position Surface form Disambiguated ID Type / Status
Subject Millerntor-Stadion E232794 entity
Predicate hasStand P6313 FINISHED
Object Gegengerade E752223 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: Gegengerade | Statement: [Millerntor-Stadion, hasStand, Gegengerade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gegengerade
Context triple: [Millerntor-Stadion, hasStand, Gegengerade]
  • A. Gegengerade chosen
    Gegengerade is the long, opposite-side stand in Nuremberg’s Max-Morlock-Stadion, traditionally hosting passionate home supporters.
  • B. Gasselte
    Gasselte is a village in the Dutch province of Drenthe, known for its surrounding forests, heathlands, and recreational lakes.
  • C. El Guettar
    El Guettar is a town in southern Tunisia known historically as the site of a major World War II battle between Allied and Axis forces.
  • D. Nagode
    "Nagode" is a popular Afro-pop song by Nigerian singer Yemi Alade, known for its catchy melody and blend of contemporary and African musical elements.
  • E. Kehrsatz
    Kehrsatz is a municipality in the canton of Bern, Switzerland, situated just south of the city of Bern within its metropolitan region.
  • 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_69ca848940cc8190b97cec654cb3bb4a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b01863c8190a9ec4684804f96bc completed April 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1822e12b8819089d4a64a9980cfcd completed April 4, 2026, 9:27 p.m.
Created at: March 30, 2026, 8:11 p.m.