Triple

T11790646
Position Surface form Disambiguated ID Type / Status
Subject Luxembourg railway network E280377 entity
Predicate connectsCity P4245 FINISHED
Object Remich E336096 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: Remich | Statement: [Luxembourg railway network, connectsCity, Remich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Remich
Context triple: [Luxembourg railway network, connectsCity, Remich]
  • A. Remich chosen
    Remich is a small Luxembourgish town renowned for its picturesque vineyards, wine production, and scenic location along the Moselle River near the German border.
  • B. Neunkirchen
    Neunkirchen is an industrial town in Austria’s Lower Austria region, known historically for its manufacturing and metalworking industries.
  • C. Neunkirchen
    Neunkirchen is a town in southwestern Germany known as one of the major urban centers and former industrial hubs of the state of Saarland.
  • D. Bitburg
    Bitburg is a town in western Germany’s Eifel region, best known internationally for its Bitburger brewery and its nearby World War II military cemetery.
  • E. Heinsberg
    Heinsberg is a town in western Germany’s North Rhine-Westphalia near the Dutch border, known as the administrative center of the Heinsberg district.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a588d2c881909783c2d678c2a474 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f130fd7b9881909e79ecb49fe98d30 completed April 28, 2026, 10:13 p.m.
Created at: April 8, 2026, 9:42 p.m.