Triple

T22720405
Position Surface form Disambiguated ID Type / Status
Subject Großhadern E561842 entity
Predicate adjacentTo P224 FINISHED
Object Hadern 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: Hadern | Statement: [Großhadern, adjacentTo, Hadern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hadern
Context triple: [Großhadern, adjacentTo, Hadern]
  • A. Hadern chosen
    Hadern is a borough in the southwest of Munich, Germany, known for its residential character and the large Waldfriedhof cemetery.
  • B. Hageri
    Hageri is a small village located in Rapla County in western Estonia.
  • C. Halba
    Halba are an indigenous Adivasi community of central India, particularly associated with the Bastar region, known for their distinct language, cultural traditions, and agrarian lifestyle.
  • D. Halba
    Halba is a town in northern Lebanon that serves as the administrative and commercial center of the Akkar region.
  • E. Hedel
    Hedel is a village in the Dutch province of Gelderland, known for its historic castle ruins and location along the river Maas.
  • 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_69e2454fc984819088213b58ee87a002 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17910deb48190b38174e16868f3dd completed April 29, 2026, 3:20 a.m.
Created at: April 17, 2026, 3:19 p.m.