Triple

T16050749
Position Surface form Disambiguated ID Type / Status
Subject U-Bahn line U9 E389344 entity
Predicate interchangeStation P15892 FINISHED
Object Leopoldplatz E71403 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: Leopoldplatz | Statement: [U-Bahn line U9, interchangeStation, Leopoldplatz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leopoldplatz
Context triple: [U-Bahn line U9, interchangeStation, Leopoldplatz]
  • A. Leopoldplatz chosen
    Leopoldplatz is a major public square and important transport hub in Berlin’s Wedding district, served by multiple U-Bahn lines and numerous bus routes.
  • B. Böhmerwaldplatz
    Böhmerwaldplatz is a square and U-Bahn station in Munich that serves as a local transport hub within the Bogenhausen district.
  • C. Schwarzenbergplatz
    Schwarzenbergplatz is a prominent historic square in central Vienna, known for its monumental architecture, fountains, and memorials.
  • D. Wiener Platz
    Wiener Platz is a central square and marketplace in Munich’s Haidhausen district, known for its traditional Bavarian atmosphere and local shops.
  • E. Odeonsplatz
    Odeonsplatz is a large historic square in central Munich, Germany, known for its grand architecture and role as a prominent cultural and political gathering place.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18361c31481908b253e8b814ec9f6 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00aae0f87c819085ebc7d475ebe8ba completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 4:56 a.m.