Triple

T12722550
Position Surface form Disambiguated ID Type / Status
Subject Frankfurt Eschenheimer Tor station E304020 entity
Predicate connectsTo P845 FINISHED
Object Oberursel E292046 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: Oberursel | Statement: [Frankfurt Eschenheimer Tor station, connectsTo, Oberursel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oberursel
Context triple: [Frankfurt Eschenheimer Tor station, connectsTo, Oberursel]
  • A. Oberursel chosen
    Oberursel is a town in the German state of Hesse, near Frankfurt am Main, known for its historic old town and location on the edge of the Taunus mountains.
  • B. Wollerau
    Wollerau is an affluent municipality on the shores of Lake Zurich in the Swiss canton of Schwyz, known for its low taxes and as a residence of several wealthy individuals.
  • C. Reichenau an der Rax
    Reichenau an der Rax is a market town in Lower Austria known as a historic summer resort and gateway to the Rax mountain region.
  • D. Seßlach
    Seßlach is a small, well-preserved medieval town in northern Bavaria, Germany, known for its intact city walls and historic half-timbered houses.
  • E. Obernzell
    Obernzell is a Bavarian municipality on the Danube River near the city of Passau, known for its historic ceramics industry and scenic riverside setting.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d964133fe481909a44b8159ab8997b completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8c37eb08190a4c15cb50f84c341 completed May 3, 2026, 2:53 a.m.
Created at: April 9, 2026, 5:24 p.m.