Triple

T15553453
Position Surface form Disambiguated ID Type / Status
Subject Mehringplatz E370808 entity
Predicate locatedNear P294 FINISHED
Object Hallisches Tor E72035 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: Hallisches Tor | Statement: [Mehringplatz, locatedNear, Hallisches Tor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hallisches Tor
Context triple: [Mehringplatz, locatedNear, Hallisches Tor]
  • A. Hallesches Tor chosen
    Hallesches Tor is a major Berlin U-Bahn interchange station in the Kreuzberg district, serving as a key hub for multiple subway lines.
  • B. Rieder Tor
    Rieder Tor is a historic city gate in Donauwörth, Germany, and one of the town’s best-known architectural landmarks.
  • C. Schottentor
    Schottentor is a historic former city gate area in Vienna that now serves as a major public transport hub and landmark at the edge of the Innere Stadt.
  • D. Siegestor
    The Siegestor is a 19th-century triumphal arch in Munich, Germany, dedicated to Bavarian military glory and located between the districts of Maxvorstadt and Schwabing.
  • E. Schwabentor
    Schwabentor is a historic medieval city gate in Freiburg im Breisgau, Germany, known as one of the city’s iconic architectural landmarks.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a96c0c88190808f68601a36b506 completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c3e67c881909a9fa1e483a364be completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:09 a.m.