Triple

T23062460
Position Surface form Disambiguated ID Type / Status
Subject Herta E574940 entity
Predicate relatedName P3889 FINISHED
Object Hertha NE NERFINISHED

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: Hertha | Statement: [Herta, relatedName, Hertha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hertha
Context triple: [Herta, relatedName, Hertha]
  • A. Hertha BSC II
    Hertha BSC II is the reserve football team of German club Hertha BSC, competing in the lower tiers of the national league system to develop young and fringe players.
  • B. Hertha BSC chosen
    Hertha BSC is a professional football club from Berlin, Germany, that competes in the German league system and is one of the country’s oldest and most historic teams.
  • C. St. Pauli
    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.
  • D. Fortuna Düsseldorf
    Fortuna Düsseldorf is a German professional football club based in Düsseldorf, known for its history in the Bundesliga and domestic cup competitions.
  • E. Roggendorf
    Roggendorf is a village and district within the town of Mechernich in North Rhine-Westphalia, Germany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f189a0c3c881909f137ad511c216ac completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.