Triple

T13536923
Position Surface form Disambiguated ID Type / Status
Subject Römer city hall E323284 entity
Predicate hasPart P35 FINISHED
Object Haus Frauenstein E432865 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: Haus Frauenstein | Statement: [Römer city hall, hasPart, Haus Frauenstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haus Frauenstein
Context triple: [Römer city hall, hasPart, Haus Frauenstein]
  • A. Haus Frauenstein chosen
    Haus Frauenstein is a historic building within Frankfurt’s Römer complex, part of the city’s medieval town hall ensemble.
  • B. 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.
  • C. 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.
  • D. House of Hohenstein
    The House of Hohenstein is a German noble family historically associated with the title of Count of Hohenstein and regional aristocratic rule.
  • E. Maison Kammerzell
    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.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafbe39948190808062d4eff91841 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d9a448c81908fa57a909a9097f7 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:45 p.m.