Triple

T17308757
Position Surface form Disambiguated ID Type / Status
Subject Friedrichshain-Kreuzberg E420234 entity
Predicate containsLandmark P1098 FINISHED
Object Kottbusser Tor E1193528 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: Kottbusser Tor | Statement: [Friedrichshain-Kreuzberg, containsLandmark, Kottbusser Tor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kottbusser Tor
Context triple: [Friedrichshain-Kreuzberg, containsLandmark, Kottbusser Tor]
  • A. Kottbusser Tor chosen
    Kottbusser Tor is a major public square and busy U-Bahn interchange station in Berlin’s Kreuzberg district, known for its multicultural atmosphere and dense urban surroundings.
  • B. Kröpeliner Tor
    Kröpeliner Tor is a historic medieval city gate and prominent architectural landmark in the German city of Rostock.
  • C. Friedländer Tor
    Friedländer Tor is a historic brick Gothic city gate in Neubrandenburg, Germany, renowned as part of the town’s well-preserved medieval fortifications.
  • D. Spandauer Tor
    Spandauer Tor was a historic city gate of Berlin that marked the entrance to the city on the road leading toward Spandau.
  • E. Laufer Tor
    Laufer Tor is a historic city gate in Nuremberg’s old town, notable as part of the city’s medieval fortifications.
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43900eca88190930af0e4ec4fc0f9 completed April 19, 2026, 2:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c440c58819084792fcd6b7a7a79 completed May 11, 2026, 7:59 a.m.
Created at: April 10, 2026, 5:43 a.m.