Triple

T13972526
Position Surface form Disambiguated ID Type / Status
Subject Luxembourg and France E336099 entity
Predicate mainFrenchBorderDepartments P112005 FINISHED
Object Moselle E93471 NE FINISHED

How this triple was built (3 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: Moselle | Statement: [Luxembourg and France, mainFrenchBorderDepartments, Moselle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moselle
Context triple: [Luxembourg and France, mainFrenchBorderDepartments, Moselle]
  • A. Moselle chosen
    Moselle is a department in northeastern France, bordering Germany and Luxembourg, known for its strategic location, industrial history, and mixed French-German cultural heritage.
  • B. Moselle River
    The Moselle River is a major European waterway flowing through France, Luxembourg, and Germany, renowned for its scenic valleys and wine-producing regions.
  • C. Lower Moselle
    Lower Moselle is a renowned wine-growing subregion along the Moselle River in Germany, noted for its steep slate vineyards and high-quality Riesling wines.
  • D. Saar River
    The Saar River is a major river in northeastern France and western Germany that flows through the industrial region of Saarland before joining the Moselle.
  • E. Merzig
    Merzig is a town in the Saarland region of western Germany, near the borders with France and Luxembourg.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mainFrenchBorderDepartments
Context triple: [Luxembourg and France, mainFrenchBorderDepartments, Moselle]
  • A. cityLocatedInDepartment
    Indicates that a city is geographically and administratively situated within a specific department.
  • B. prefectureOfDepartment
    Indicates that a given prefecture administers or is the capital authority of a specified department.
  • C. borderTownOnFrenchSide
    Indicates that a town is located on the French side of a border shared with another country.
  • D. capitalOfDepartment
    Indicates that a city or town serves as the administrative capital of a specified department (an administrative division).
  • E. EUInternalBorder
    Indicates that a border lies between two member states within the European Union, where internal EU border rules apply.
  • F. None of above. chosen

Provenance (5 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e8eae40819080dd4bd25c73b6d6 completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8a9eeff48190b8aa9a601574395a completed May 8, 2026, 7:02 a.m.
PD Predicate disambiguation batch_69dd465a21408190b912a42c50ffa0d9 completed April 13, 2026, 7:39 p.m.
PDg Predicate description generation batch_69de01ed2098819088ec45069f6f2609 completed April 14, 2026, 8:59 a.m.
Created at: April 9, 2026, 10:18 p.m.