Triple

T12214831
Position Surface form Disambiguated ID Type / Status
Subject N12 road E291054 entity
Predicate connects P390 FINISHED
Object Lamballe E754111 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: Lamballe | Statement: [N12 road, connects, Lamballe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lamballe
Context triple: [N12 road, connects, Lamballe]
  • A. Lamballe chosen
    Lamballe is a historic town in the Côtes-d'Armor department of Brittany in northwestern France, known for its medieval architecture and equestrian tradition.
  • B. Lacanau
    Lacanau is a coastal resort town in southwestern France known for its Atlantic beaches, surfing, and large freshwater lake.
  • C. Eperlecques
    Eperlecques is a commune in northern France best known for the nearby World War II V-2 rocket bunker known as the Blockhaus d'Éperlecques.
  • D. Coupvray
    Coupvray is a small commune in the Île-de-France region of north-central France, known for its proximity to Disneyland Paris and as the birthplace of Louis Braille.
  • E. La Guéroulde
    La Guéroulde is a small commune in northern France, located in the Eure department of the Normandy region.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c931cec819083ca19be06a33e1c completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e5882408190b4853f3a11c249c2 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:51 p.m.