Triple

T9738172
Position Surface form Disambiguated ID Type / Status
Subject Île de Ré E236117 entity
Predicate accessPointOnMainland P75702 FINISHED
Object La Rochelle E56822 NE FINISHED

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: [Île de Ré, accessPointOnMainland, La Rochelle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Rochelle
Context triple: [Île de Ré, accessPointOnMainland, 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. 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.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: accessPointOnMainland
Context triple: [Île de Ré, accessPointOnMainland, La Rochelle]
  • A. terminalOnMainland
    Indicates that a transportation or service terminal is physically located on the mainland rather than on an island or offshore location.
  • B. connectedToMainlandBy
    Indicates that one landmass or area is physically linked to a mainland, typically via a bridge, causeway, or other continuous connection.
  • C. appliesToMainland
    Indicates that something is relevant or applicable specifically to the mainland portion of a territory, excluding its islands or overseas areas.
  • D. accessFromOtherIslands
    Indicates that something can be reached or utilized from locations situated on other islands.
  • E. servesAsMainPortOfEntryFor chosen
    Indicates that one location functions as the primary gateway or access point through which another entity typically enters a region or system.
  • F. None of above.

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_69ca84d313e88190983ee6ffd0ef60d2 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9ef2ba048190811d6f4251fdb270 completed April 1, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d2cb2aaef481908a7be61bbfc3b008 completed April 5, 2026, 8:50 p.m.
PD Predicate disambiguation batch_69cd03c6ffc88190a5e9569e19122ad5 completed April 1, 2026, 11:38 a.m.
Created at: March 30, 2026, 8:22 p.m.