Triple

T6792574
Position Surface form Disambiguated ID Type / Status
Subject Gulf of Ajaccio E155968 entity
Predicate hasPort P35 FINISHED
Object Ajaccio E22361 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: Ajaccio | Statement: [Gulf of Ajaccio, hasPort, Ajaccio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ajaccio
Context triple: [Gulf of Ajaccio, hasPort, Ajaccio]
  • A. Ajaccio chosen
    Ajaccio is a coastal city on the French island of Corsica, best known as the birthplace of Napoleon Bonaparte and now a popular Mediterranean tourist destination.
  • B. Bastia
    Bastia is a major port city in northeastern Corsica, France, known for its historic old town, bustling harbor, and role as an economic and cultural hub of the island.
  • C. Porto-Vecchio
    Porto-Vecchio is a popular seaside resort town in southern Corsica, France, known for its picturesque old port, historic citadel, and nearby white-sand beaches.
  • D. Cargèse
    Cargèse is a coastal village on the west coast of Corsica, France, known for its Greek heritage, twin churches, and scenic Mediterranean setting.
  • E. Villefranche-sur-Mer
    Villefranche-sur-Mer is a picturesque coastal town in southeastern France known for its deep natural harbor, colorful old town, and scenic setting on the Mediterranean Sea.
  • 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_69c6881770fc8190972b2906390380f5 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2ae4d1c819089ac6b3abf11a341 completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72f7df860819099d50871dbe08ad9 completed March 28, 2026, 1:31 a.m.
Created at: March 27, 2026, 2:15 p.m.