Triple

T15797731
Position Surface form Disambiguated ID Type / Status
Subject Eissporthalle Frankfurt E383024 entity
Predicate locatedInDistrict P40 FINISHED
Object Bornheim E96240 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: Bornheim | Statement: [Eissporthalle Frankfurt, locatedInDistrict, Bornheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bornheim
Context triple: [Eissporthalle Frankfurt, locatedInDistrict, Bornheim]
  • A. Bornheim chosen
    Bornheim is a lively residential and nightlife district in Frankfurt am Main, Germany, known for its traditional cider taverns, historic streets, and vibrant local culture.
  • B. Budenheim
    Budenheim is a municipality in the German state of Rhineland-Palatinate, located near Mainz along the Rhine River.
  • C. Benkheim
    Benkheim is the former German name for the village now known as Banie Mazurskie in northeastern Poland.
  • D. Brackenheim
    Brackenheim is a small town in the German state of Baden-Württemberg, best known as the birthplace of Theodor Heuss, the first President of the Federal Republic of Germany.
  • E. Ovenhausen
    Ovenhausen is a village and district of the town of Höxter in North Rhine-Westphalia, Germany.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4def80481908f72733ce9133bc6 completed April 16, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90b08ab48190892c700f5eb261d8 completed May 9, 2026, 7:53 p.m.
Created at: April 10, 2026, 4:48 a.m.