Triple

T6027747
Position Surface form Disambiguated ID Type / Status
Subject Meurthe-et-Moselle E134222 entity
Predicate borders P224 FINISHED
Object Vosges E64937 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: Vosges | Statement: [Meurthe-et-Moselle, borders, Vosges]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vosges
Context triple: [Meurthe-et-Moselle, borders, Vosges]
  • A. Vosges Mountains chosen
    The Vosges Mountains are a low, rounded mountain range in northeastern France known for their forested slopes, scenic lakes, and popular hiking and skiing areas.
  • B. Morvan Massif
    The Morvan Massif is a heavily forested highland region in central France known for its rounded granite hills, lakes, and protected natural landscapes.
  • C. Franconian Jura
    The Franconian Jura is a low, forested limestone mountain range and plateau in Bavaria, Germany, known for its karst landscapes, caves, and scenic river valleys.
  • D. Franches-Montagnes
    Franches-Montagnes is a traditional rural region of the Swiss canton of Jura, known for its high plateau landscapes, watchmaking heritage, and the native Franches-Montagnes horse breed.
  • E. Isarauen
    Isarauen is the floodplain landscape along the Isar River, characterized by its natural riverine habitats and ecological significance.
  • 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_69c0087515148190a97475d412563865 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0560e3c2c8190aea2619386fc5538 completed March 22, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1137d6a648190a91795fb679a891c completed March 23, 2026, 10:18 a.m.
Created at: March 22, 2026, 4:07 p.m.