Triple

T15480833
Position Surface form Disambiguated ID Type / Status
Subject Largentière E376910 entity
Predicate hasBuildingMaterialHistory P112113 FINISHED
Object stone construction LITERAL 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: stone construction | Statement: [Largentière, hasBuildingMaterialHistory, stone construction]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBuildingMaterialHistory
Context triple: [Largentière, hasBuildingMaterialHistory, stone construction]
  • A. hasHistoricalOccupationMaterial
    Indicates that something is composed of or contains material evidence related to past occupations or uses by people.
  • B. hasArchitecturalMaterial chosen
    Indicates that something is constructed from, incorporates, or is characterized by a particular architectural material.
  • C. hasProductionHistory
    Indicates that an entity is associated with a record or account of its past production activities, processes, or outputs.
  • D. hasStructureHistory
    Indicates that there exists a record or account detailing the past states, changes, or development of a structure over time.
  • E. hasInfrastructureHistory
    Indicates that there exists a record or account of past changes, developments, or states of infrastructure associated with an entity.
  • F. None of above.

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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f8cb4388190a3b4c92c3bb4ad4f completed April 16, 2026, 1:46 a.m.
PD Predicate disambiguation batch_69ded2874b788190999158e0f043be21 completed April 14, 2026, 11:49 p.m.
Created at: April 10, 2026, 3:34 a.m.