Triple

T6373892
Position Surface form Disambiguated ID Type / Status
Subject Sassari E143414 entity
Predicate twinnedWith P1072 FINISHED
Object Saint-Nazaire E60904 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: Saint-Nazaire | Statement: [Sassari, twinnedWith, Saint-Nazaire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint-Nazaire
Context triple: [Sassari, twinnedWith, Saint-Nazaire]
  • A. Saint-Nazaire chosen
    Saint-Nazaire is a major Atlantic port city in western France, known for its shipbuilding industry and strategic location at the mouth of the Loire River.
  • B. Saint-Malo
    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.
  • 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. Rochefort
    Rochefort is a historic French port town on the Atlantic coast known for its naval heritage and maritime museum sites.
  • E. Rochefort
    Rochefort is a town in the Walloon region of Belgium, known for its historic abbey and Trappist beer.
  • 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_69c008d9f4348190ab598a2913259a1c completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c068390af08190967a3d25ec9a50e5 completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c638724d448190a7f13a7c449341db completed March 27, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:33 p.m.