Triple

T14754944
Position Surface form Disambiguated ID Type / Status
Subject 1. Bezirk E346706 entity
Predicate hasLandmark P105 FINISHED
Object Heldenplatz E288214 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: Heldenplatz | Statement: [1. Bezirk, hasLandmark, Heldenplatz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heldenplatz
Context triple: [1. Bezirk, hasLandmark, Heldenplatz]
  • A. Heldenplatz chosen
    Heldenplatz is a large historic public square in central Vienna, Austria, known for its monumental architecture and its role in significant political events, including Adolf Hitler’s 1938 annexation speech.
  • B. Hansaplatz
    Hansaplatz is a Berlin U-Bahn station on the U9 line located in the Hansaviertel district of the city.
  • C. Kaiserwiese
    Kaiserwiese is a large open meadow within Vienna’s Prater park, commonly used for recreation, events, and public gatherings.
  • D. Burgplatz
    Burgplatz is a historic central square in Braunschweig, Germany, known for its medieval architecture and prominent landmarks such as Dankwarderode Castle and the Brunswick Lion.
  • E. Burgplatz
    Burgplatz is a historic central square in Düsseldorf’s Old Town, known for its riverside location on the Rhine and remnants of the former city castle.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d59df08190a86da5048358bd6e completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb9e1b8481909abea3daabe91302 completed May 8, 2026, 3:05 p.m.
Created at: April 10, 2026, 1:30 a.m.