Triple

T13219973
Position Surface form Disambiguated ID Type / Status
Subject Herrenhäuser Allee E314723 entity
Predicate formsAxialApproachTo P6174 FINISHED
Object Georgengarten E79281 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: Georgengarten | Statement: [Herrenhäuser Allee, formsAxialApproachTo, Georgengarten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Georgengarten
Context triple: [Herrenhäuser Allee, formsAxialApproachTo, Georgengarten]
  • A. Georgengarten chosen
    Georgengarten is a large English-style landscape park in Hanover, Germany, known for its expansive lawns, tree-lined avenues, and integration into the historic Herrenhausen Gardens ensemble.
  • B. Volksgarten
    Volksgarten is a historic public park in central Vienna renowned for its formal rose gardens, neoclassical monuments, and location along the Ringstrasse.
  • C. Oberer Schlossgarten
    Oberer Schlossgarten is a historic urban park in central Stuttgart known for its landscaped green spaces, ponds, and cultural venues.
  • D. Hofgarten
    The Hofgarten is a historic Renaissance-style court garden in central Munich, known for its arcades, pavilions, and role as a popular public park and cultural venue.
  • E. Welfengarten
    Welfengarten is a historic garden and urban green space in Hanover, Germany, known for its landscaped grounds and proximity to major educational institutions.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf581508190883033f0c961736a completed April 10, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a31c8748190a24256a7dd1e346b completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:18 p.m.