Triple

T7002057
Position Surface form Disambiguated ID Type / Status
Subject Lucerne railway station E162358 entity
Predicate near P350 FINISHED
Object Lucerne city centre E428255 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: Lucerne city centre | Statement: [Lucerne railway station, near, Lucerne city centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucerne city centre
Context triple: [Lucerne railway station, near, Lucerne city centre]
  • A. City of Lucerne chosen
    The City of Lucerne is a historic Swiss city and member of the Old Swiss Confederacy, known for its strategic location by Lake Lucerne and its role in late medieval conflicts such as the Burgundian Wars.
  • B. Innenstadt
    Innenstadt is the central urban district of Frankfurt am Main, known as the city’s historic core and primary commercial area.
  • C. Euralille business district
    Euralille business district is a major commercial and business hub in Lille, France, known for its modern architecture, offices, shopping centers, and strategic location at the crossroads of European high-speed rail lines.
  • D. Centrum
    Centrum is the central urban district and main commercial area of the Dutch city of Meppel.
  • E. St. Gallen
    St. Gallen is a historic city in northeastern Switzerland renowned for its UNESCO-listed Abbey of Saint Gall and rich textile heritage.
  • 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_69c68857ffc08190857dc62cd5253777 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc1115c48190a9363473ae21b6c1 completed March 27, 2026, 7:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775573c84819081f34ab2b14b700a completed March 28, 2026, 6:29 a.m.
Created at: March 27, 2026, 2:33 p.m.