Triple

T10742344
Position Surface form Disambiguated ID Type / Status
Subject Nou Camp E253357 entity
Predicate hasStand P6313 FINISHED
Object Gol Sud E253361 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: Gol Sud | Statement: [Nou Camp, hasStand, Gol Sud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gol Sud
Context triple: [Nou Camp, hasStand, Gol Sud]
  • A. Gol Sud chosen
    Gol Sud is the southern stand of FC Barcelona's Camp Nou stadium, traditionally home to some of the club’s most passionate supporters.
  • B. Gol
    Gol is a municipality in Viken county, Norway, known for its mountainous landscapes, outdoor recreation, and the historic Gol Stave Church replica at the Gordarike family park.
  • C. Golo
    Golo is a masculine given name most notably borne by the German historian and essayist Golo Mann.
  • D. Gol Gol
    Gol Gol is a small town in southwestern New South Wales, Australia, situated on the Murray River near Mildura in the Sunraysia agricultural region.
  • E. Golus
    Golus is a Yiddish term referring to the Jewish exile and dispersion from their ancestral homeland, encompassing both the physical diaspora and its spiritual-historical implications.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d710456ec88190ad8aff8804d13aa9 completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69de22fc13b0819098caf88328397053 completed April 14, 2026, 11:20 a.m.
Created at: April 8, 2026, 9:15 p.m.