Triple

T22152529
Position Surface form Disambiguated ID Type / Status
Subject Jean de Béthencourt E547447 entity
Predicate usedShipsFrom P147186 FINISHED
Object La Rochelle 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: La Rochelle | Statement: [Jean de Béthencourt, usedShipsFrom, La Rochelle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Rochelle
Context triple: [Jean de Béthencourt, usedShipsFrom, La Rochelle]
  • A. La Rochelle chosen
    La Rochelle is a historic French Atlantic port city that became a major stronghold and refuge for Huguenots during the French Wars of Religion.
  • B. Toulon
    Toulon is a major port city on France’s Mediterranean coast that serves as the principal base of the French Navy.
  • C. Nantes
    Nantes is a historic port city in western France on the Loire River, known for its maritime heritage, cultural institutions, and vibrant arts scene.
  • D. Niort
    Niort is a historic city in western France known as an administrative and economic center, particularly for its strong mutual insurance and financial services sector.
  • E. Floirac
    Floirac is a suburban commune in southwestern France located near the city of Bordeaux, known for its residential areas and proximity to the Garonne River.
  • 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: usedShipsFrom
Context triple: [Jean de Béthencourt, usedShipsFrom, La Rochelle]
  • A. usedForShips
    Indicates that something is designed, intended, or suitable to be used for ships or ship-related purposes.
  • B. shipUsed
    Indicates that a particular ship was employed or utilized in carrying out an event, activity, or operation.
  • C. shipsWith
    Indicates that one entity is delivered, packaged, or provided together with another entity as part of the same shipment or bundle.
  • D. sentShipsTo
    Indicates that one entity dispatched or directed ships to another entity or location.
  • E. shipsUsedAs
    Indicates that certain ships are employed or repurposed to serve in a specified role, function, or capacity.
  • 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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f5a740819093628386732b91a6 completed April 28, 2026, 9:43 p.m.
PD Predicate disambiguation batch_69e71b384e008190b723c9a0f1089d66 completed April 21, 2026, 6:37 a.m.
PDg Predicate description generation batch_69e7222d208c819098b12c13e31af629 completed April 21, 2026, 7:07 a.m.
Created at: April 16, 2026, 8:33 p.m.