Triple

T2855971
Position Surface form Disambiguated ID Type / Status
Subject Invalidenfriedhof E63200 entity
Predicate locatedIn P40 FINISHED
Object Mitte E28609 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: Mitte | Statement: [Invalidenfriedhof, locatedIn, Mitte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mitte
Context triple: [Invalidenfriedhof, locatedIn, Mitte]
  • A. Mitte chosen
    Mitte is the central district of Berlin, Germany, known as the historic core of the city and home to many major landmarks and government institutions.
  • B. Middelaar
    Middelaar is a village in the Dutch province of Limburg, situated near the river Maas and close to the border with Germany.
  • C. Centre
    Centre was the former name of the administrative region in central France now known as Centre-Val de Loire.
  • D. Midgley
    Midgley is a small village in West Yorkshire, England, known for its rural setting in the Calder Valley near Luddenden Foot.
  • E. Menstrie
    Menstrie is a small village in central Scotland, situated at the foot of the Ochil Hills in Clackmannanshire.
  • 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_69ab4c41e8c08190a9e8f5249cc12610 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf62308081908a65decdd5d6f918 completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d8d0eec8190b0b29407264fb2bd completed March 10, 2026, 1:33 p.m.
Created at: March 6, 2026, 10:02 p.m.