Triple

T16050730
Position Surface form Disambiguated ID Type / Status
Subject U-Bahn line U9 E389344 entity
Predicate hasStation P35 FINISHED
Object Hansaplatz E1093639 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: Hansaplatz | Statement: [U-Bahn line U9, hasStation, Hansaplatz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hansaplatz
Context triple: [U-Bahn line U9, hasStation, Hansaplatz]
  • A. Hansaplatz chosen
    Hansaplatz is a Berlin U-Bahn station on the U9 line located in the Hansaviertel district of the city.
  • B. Herkomerplatz
    Herkomerplatz is a square in Munich’s Bogenhausen district, known as a local traffic and public transport hub surrounded by residential and commercial buildings.
  • C. Roncalliplatz
    Roncalliplatz is a central public square in Cologne, Germany, situated by Cologne Cathedral and home to major cultural sites and events.
  • D. 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.
  • E. Marijinplatz
    Marijinplatz is the former name of Ljubljana’s central Prešeren Square, a key cultural and social gathering place in Slovenia’s capital.
  • 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_6a008a1f8d648190b9c6280b875a17e4 completed May 10, 2026, 1:37 p.m.
Created at: April 10, 2026, 4:56 a.m.