Triple

T2210029
Position Surface form Disambiguated ID Type / Status
Subject French Fusiliers Marins E50892 entity
Predicate garrisonLocation P40 FINISHED
Object Lorient E153357 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: Lorient | Statement: [French Fusiliers Marins, garrisonLocation, Lorient]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lorient
Context triple: [French Fusiliers Marins, garrisonLocation, Lorient]
  • A. Lorient chosen
    Lorient is a port city in the Brittany region of northwestern France, known for its maritime heritage and annual Interceltic Festival.
  • B. La Rochelle
    La Rochelle is a historic French Atlantic port city that became a major stronghold and refuge for Huguenots during the French Wars of Religion.
  • C. Cherbourg
    Cherbourg is a major French port city on the Cotentin Peninsula, known for its strategic naval harbor and cross-Channel ferry connections.
  • D. Saint-Jean-de-Luz
    Saint-Jean-de-Luz is a historic fishing port and seaside resort town on France’s Basque coast, known for its picturesque bay and well-preserved old town.
  • E. Rennes
    Rennes is the capital city of France’s Brittany region, known for its historic medieval center, vibrant student population, and role as a major cultural and economic hub in western France.
  • 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_69a88b06709c8190978fb2418470d1b6 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfce5abc8190b90b92e32045385d completed March 7, 2026, 6:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea85f62e081909f92b1a98b688104 completed March 9, 2026, 11 a.m.
Created at: March 4, 2026, 7:46 p.m.