Triple

T3333452
Position Surface form Disambiguated ID Type / Status
Subject Luxembourg City E70084 entity
Predicate twinCity P1072 FINISHED
Object Metz E90772 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: Metz | Statement: [Luxembourg City, twinCity, Metz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metz
Context triple: [Luxembourg City, twinCity, Metz]
  • A. Metz chosen
    Metz is a historic city in northeastern France known for its Gothic Saint-Stephen Cathedral, Roman and medieval heritage, and role as the capital of the Moselle department in the Grand Est region.
  • B. Maubeuge
    Maubeuge is a fortified industrial town in northern France near the Belgian border, historically significant for its strategic military position.
  • C. Bar-le-Duc
    Bar-le-Duc is a historic town in northeastern France, known as the former capital of the Duchy of Bar and for its Renaissance architecture and traditional mirabelle plum jam.
  • D. Thionville
    Thionville is a town in northeastern France near the Luxembourg border, known historically as a strategic industrial and military center in the Moselle region.
  • E. Colmar
    Colmar is a picturesque historic town in northeastern France’s Alsace region, renowned for its well-preserved medieval and early Renaissance architecture and canals.
  • 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_69ad85a24f208190bcf83131bfed3521 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb194960081909333c855f06d8b03 completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503d6cd9c81908acb288091503ec1 completed March 14, 2026, 6:44 a.m.
Created at: March 8, 2026, 3:12 p.m.