Triple

T17308758
Position Surface form Disambiguated ID Type / Status
Subject Friedrichshain-Kreuzberg E420234 entity
Predicate containsLandmark P1098 FINISHED
Object Frankfurter Tor NE ONNED1

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: Frankfurter Tor | Statement: [Friedrichshain-Kreuzberg, containsLandmark, Frankfurter Tor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frankfurter Tor
Context triple: [Friedrichshain-Kreuzberg, containsLandmark, Frankfurter Tor]
  • A. Frankfurter Tor chosen
    Frankfurter Tor is a prominent square and transport hub in Berlin’s Friedrichshain district, notable for its twin-towered Stalinist architecture and role as a gateway to the city’s historic Karl-Marx-Allee.
  • B. Eschenheimer Tor
    Eschenheimer Tor is a historic city gate and prominent landmark in central Frankfurt am Main, Germany.
  • C. Hallesches Tor
    Hallesches Tor is a major Berlin U-Bahn interchange station in the Kreuzberg district, serving as a key hub for multiple subway lines.
  • 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. Berliner Tor
    Berliner Tor is a historic city gate in Wesel, Germany, notable for its baroque architecture and role in the town’s former 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_6a01954cfd048190b201c5e457c2a4a2 in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:43 a.m.