Triple

T7274864
Position Surface form Disambiguated ID Type / Status
Subject Vannes E162998 entity
Predicate isPartOf P10 FINISHED
Object Armorican Massif E363242 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: Armorican Massif | Statement: [Vannes, isPartOf, Armorican Massif]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Armorican Massif
Context triple: [Vannes, isPartOf, Armorican Massif]
  • A. Armorican Massif chosen
    The Armorican Massif is an ancient, heavily eroded geological massif in northwestern France, forming a core part of the region’s rugged upland landscape.
  • B. Maladeta massif
    The Maladeta massif is a prominent mountain group in the central Pyrenees of Spain, known for containing the range’s highest peaks and extensive glaciation.
  • C. Sidobre granite plateau
    The Sidobre granite plateau is a distinctive geological area in southern France known for its vast granite formations, unusual rock shapes, and active stone quarrying industry.
  • D. Gennargentu Massif
    Gennargentu Massif is a rugged mountain range in central-eastern Sardinia, Italy, known for containing the island’s highest peaks and remote, wild landscapes.
  • E. Bohemian Massif
    The Bohemian Massif is a large, ancient crystalline highland in Central Europe, spanning parts of the Czech Republic, Germany, Austria, and Poland.
  • 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_69c6885c5964819085b209701769877f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb0fd8788190aa21d4b2ad773926 completed March 27, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db2c76fc81909632c7ee4e54f81c completed March 28, 2026, 1:44 p.m.
Created at: March 27, 2026, 2:58 p.m.