Triple

T9263087
Position Surface form Disambiguated ID Type / Status
Subject German Fairy Tale Route E222625 entity
Predicate passesThrough P225 FINISHED
Object Hameln E178114 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: Hameln | Statement: [German Fairy Tale Route, passesThrough, Hameln]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hameln
Context triple: [German Fairy Tale Route, passesThrough, Hameln]
  • A. Hameln chosen
    Hameln is a historic town in Lower Saxony, Germany, best known as the setting of the Pied Piper of Hamelin legend.
  • B. Halberstadt
    Halberstadt is a historic town in the German state of Saxony-Anhalt, known for its medieval architecture and role as a former episcopal seat.
  • C. Stadthagen
    Stadthagen is a historic town in Lower Saxony, Germany, known for its Renaissance architecture and role as an administrative and cultural center of the surrounding region.
  • D. Othmarschen
    Othmarschen is a residential district in the west of Hamburg, Germany, known for its affluent neighborhoods, green spaces, and location along the Elbe River.
  • E. Nordhausen
    Nordhausen is a historic town in central Germany known for its medieval architecture, former role as a key trading center, and association with the nearby Mittelbau-Dora concentration camp site.
  • 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_69ca841f2e808190a64f4c31903a1332 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd0719eee081909e21ecb9d6dd0b49 completed April 1, 2026, 11:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69d189e115d8819092c3ecbeec8b450f completed April 4, 2026, 10 p.m.
Created at: March 30, 2026, 7:32 p.m.