Triple

T10663296
Position Surface form Disambiguated ID Type / Status
Subject Landungsbrücken E251282 entity
Predicate district P2709 FINISHED
Object St. Pauli E258698 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: St. Pauli | Statement: [Landungsbrücken, district, St. Pauli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: St. Pauli
Context triple: [Landungsbrücken, district, St. Pauli]
  • A. St. Pauli chosen
    St. Pauli is a district of Hamburg, Germany, best known for its vibrant nightlife, countercultural scene, and association with the football club FC St. Pauli.
  • B. FC St. Pauli
    FC St. Pauli is a German football club renowned for its left-wing, anti-fascist fan culture and distinctive alternative identity within European football.
  • C. Hansa Rostock
    Hansa Rostock is a German football club based in Rostock, Mecklenburg-Vorpommern, known for its history in the former East German leagues and later participation in the Bundesliga.
  • D. TSV 1860 Munich
    TSV 1860 Munich is a historic German football club from Munich known for its traditional fan base and past success in the Bundesliga.
  • E. Hannover 96
    Hannover 96 is a professional German football club based in Hanover, best known for competing in the Bundesliga and having a long history dating back to the late 19th century.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f31db6288190857533213fa9f20d completed April 9, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9885dc17881909df20abedd9da5e3 completed April 10, 2026, 11:31 p.m.
Created at: April 8, 2026, 9:08 p.m.