Triple

T1190282
Position Surface form Disambiguated ID Type / Status
Subject East Berlin E25341 entity
Predicate hadLandmark P22581 FINISHED
Object Brandenburg Gate E16265 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: Brandenburg Gate | Statement: [East Berlin, hadLandmark, Brandenburg Gate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brandenburg Gate
Context triple: [East Berlin, hadLandmark, Brandenburg Gate]
  • A. Brandenburg Gate chosen
    The Brandenburg Gate is an iconic 18th-century monument in Berlin and one of Germany’s most recognizable symbols of history and national unity.
  • B. Brandenburg Gate (Potsdam)
    The Brandenburg Gate in Potsdam is a historic triumphal arch built in the 18th century that serves as one of the city's most prominent architectural landmarks.
  • C. Oranienburger Tor
    Oranienburger Tor is an underground station on Berlin’s U-Bahn network located near the historic Oranienburger Tor area in the central district of Mitte.
  • D. Glienicke Bridge, Berlin
    Glienicke Bridge in Berlin is a historic span over the Havel River that became famous during the Cold War as a key site for high-profile prisoner exchanges between East and West.
  • E. 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.
  • 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_69a49427d98881908646d6c63b8cea1e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bf15423481909cb3e661e58d3d94 completed March 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7f36371c8190a656463a9ae6402a completed March 7, 2026, 7:40 p.m.
Created at: March 1, 2026, 7:45 p.m.