Triple

T1498898
Position Surface form Disambiguated ID Type / Status
Subject Saint Peter Port E29749 entity
Predicate connectsByFerryTo P1831 FINISHED
Object St Malo E146767 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: St Malo | Statement: [Saint Peter Port, connectsByFerryTo, St Malo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: St Malo
Context triple: [Saint Peter Port, connectsByFerryTo, St Malo]
  • A. Saint-Tropez
    Saint-Tropez is a coastal town on the French Riviera, famed as a glamorous Mediterranean resort and former artists’ haven.
  • B. Loulé
    Loulé is a historic market town and municipality in southern Portugal known for its traditional architecture, lively festivals, and role as a cultural and commercial center in the Algarve region.
  • C. Magaluf
    Magaluf is a popular resort town on the southwest coast of Mallorca, Spain, known for its sandy beaches and vibrant nightlife.
  • D. Saint-Malo chosen
    Saint-Malo is a historic walled port city in Brittany, northwestern France, known for its maritime heritage, privateering past, and dramatic coastal setting on the English Channel.
  • E. Saintes-Maries-de-la-Mer
    Saintes-Maries-de-la-Mer is a coastal town in southern France known as a pilgrimage site and seaside resort at the edge of the Camargue wetlands.
  • 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_69a498dba1d8819093b46a3a8d2485f1 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6f0ce988190aafab4a6e0dfd710 completed March 1, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1cb19b708190a28b1a0037860202 completed March 8, 2026, 6:52 a.m.
Created at: March 1, 2026, 8:12 p.m.