Triple

T17347914
Position Surface form Disambiguated ID Type / Status
Subject Compagnie du Sénégal E421731 entity
Predicate builtFort P29990 FINISHED
Object Saint-Louis 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: Saint-Louis | Statement: [Compagnie du Sénégal, builtFort, Saint-Louis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint-Louis
Context triple: [Compagnie du Sénégal, builtFort, Saint-Louis]
  • A. Saint-Louis
    Saint-Louis is a historic French crystal manufacturer renowned for its high-end glassware, lighting, and decorative objects.
  • B. Saint-Louis chosen
    Saint-Louis is a historic coastal city in northwestern Senegal that served as a major colonial administrative and trading center in French West Africa.
  • C. Saint-Louis
    Saint-Louis is a French border town in the Alsace region, adjacent to Basel and known as a key cross-border transit and commuter hub between France, Switzerland, and Germany.
  • D. Saint-Louis
    Saint-Louis is a coastal commune on the Caribbean island of Marie-Galante, known for its beaches, fishing activities, and traditional Creole character.
  • E. Place Saint-Louis
    Place Saint-Louis is a historic medieval square in Metz, France, known for its arcaded houses and lively cafés.
  • 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: builtFort
Context triple: [Compagnie du Sénégal, builtFort, Saint-Louis]
  • A. fortifiedBuilding
    Indicates that a building is strengthened or reinforced for defense against attacks or intrusions.
  • B. wasFortifiedBy chosen
    Indicates that a place or structure received defensive strengthening or fortification through the actions or resources of a specified agent or entity.
  • C. fortificationEngineer
    Indicates a relationship where an entity is responsible for designing, constructing, or maintaining defensive structures or fortifications for another entity or location.
  • D. builtStructureFor
    Indicates that one entity constructed or assembled a structure specifically intended for the use, benefit, or purpose of another entity.
  • E. isFortifiedWith
    Indicates that one entity has been strengthened, enriched, or supplemented by the addition of another 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a2a2ee48190976732e654a40053 completed April 19, 2026, 2:12 a.m.
PD Predicate disambiguation batch_69e3b02662d08190a07d0fb5c04b6f33 completed April 18, 2026, 4:24 p.m.
Created at: April 10, 2026, 5:44 a.m.