Triple

T21976420
Position Surface form Disambiguated ID Type / Status
Subject Marius E542715 entity
Predicate hasOriginalWorkSetting P146130 FINISHED
Object Marseille NE NERFINISHED

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: Marseille | Statement: [Marius, hasOriginalWorkSetting, Marseille]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marseille
Context triple: [Marius, hasOriginalWorkSetting, Marseille]
  • A. Marseille chosen
    Marseille is a historic Mediterranean port city in southern France known for its diverse culture, maritime heritage, and role as a major economic hub.
  • B. Marseillan
    Marseillan is a coastal commune in southern France known for its historic port, oyster farming, and proximity to the Étang de Thau lagoon.
  • C. Lyon
    Lyon is a major city in east-central France known for its historical and architectural landmarks, gastronomy, and role as a key economic and cultural center.
  • D. Lyon
    Lyon is a historic Scottish noble family name most prominently associated with the Earls of Strathmore and Kinghorne.
  • E. Toulon
    Toulon is a major port city on France’s Mediterranean coast that serves as the principal base of the French Navy.
  • 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: hasOriginalWorkSetting
Context triple: [Marius, hasOriginalWorkSetting, Marseille]
  • A. usesOriginalWorkKey
    Indicates that an entity makes use of, references, or is derived from another entity identified as the original work by a specific key.
  • B. hasOriginalWorkMedium
    Indicates that an original creative work is associated with a specific medium or material in which it was first produced.
  • C. hasOriginalVersion
    Indicates that one entity is the original or initial version from which another entity is derived or adapted.
  • D. hasOriginalPart
    Indicates that an entity includes a component or segment that is part of its initial, original composition.
  • E. hasOriginalComposition
    Indicates that one entity is the initial or primary compositional source or makeup of another entity.
  • F. None of above. chosen

Provenance (4 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_69e0c48070988190909db97667b9a0ac completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f124886418819091daed0988432350 completed April 28, 2026, 9:20 p.m.
PD Predicate disambiguation batch_69e6f6154e408190acc5b2c278acaff4 completed April 21, 2026, 3:59 a.m.
PDg Predicate description generation batch_69e6fad4a540819096cdd5ea08527220 completed April 21, 2026, 4:19 a.m.
Created at: April 16, 2026, 8:03 p.m.