Triple

T16505146
Position Surface form Disambiguated ID Type / Status
Subject Strasbourg old town E400907 entity
Predicate contains P35 FINISHED
Object Maison Kammerzell E85723 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: Maison Kammerzell | Statement: [Strasbourg old town, contains, Maison Kammerzell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maison Kammerzell
Context triple: [Strasbourg old town, contains, Maison Kammerzell]
  • A. Maison Kammerzell chosen
    Maison Kammerzell is a richly ornamented late Gothic and Renaissance timber-framed house in Strasbourg, France, renowned as one of the city’s most iconic historic buildings.
  • B. Almenhof
    Almenhof is a residential district of Mannheim in the German state of Baden-Württemberg.
  • C. Damböckhaus
    Damböckhaus is a mountain hut located on the slopes of the Schneeberg in Lower Austria, serving as a popular rest stop for hikers and mountaineers.
  • D. Marienhof
    Marienhof is a German television soap opera that gained popularity in the 1990s and 2000s for its portrayal of everyday life and relationships in a fictional Cologne neighborhood.
  • E. Haus Salzhaus
    Haus Salzhaus is a historic building on Frankfurt’s Römerberg square, known for its richly decorated Renaissance-style façade and role in the city’s old town ensemble.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e51ce1c81909548298f703a7ffa completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0058305e308190a22cbd03daec53aa completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:14 a.m.