Triple

T12396616
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Saint-Nazaire E296132 entity
Predicate contains P35 FINISHED
Object Pornic E393199 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: Pornic | Statement: [arrondissement of Saint-Nazaire, contains, Pornic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pornic
Context triple: [arrondissement of Saint-Nazaire, contains, Pornic]
  • A. Pornic chosen
    Pornic is a coastal resort town and fishing port on the Atlantic Ocean in western France, known for its scenic harbor, beaches, and medieval castle.
  • B. Pitești
    Pitești is a city in southern Romania, known as an important industrial and transportation hub and the capital of Argeș County.
  • C. Târgu Ocna
    Târgu Ocna is a town in Bacău County, Romania, known for its historic salt mine and spa tourism in the Trotuș Valley.
  • D. Ploiești
    Ploiești is a major city in southern Romania historically known for its oil industry and strategic importance during World War II.
  • E. Rochor
    Rochor is a central urban planning area and historic district in Singapore known for its mix of heritage sites, commercial activity, and dense public housing.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fd33f048190b205fd21dc513f6a completed April 10, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6347e27b4819085494babfe180488 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:54 p.m.