Triple

T12792087
Position Surface form Disambiguated ID Type / Status
Subject Lasse E305791 entity
Predicate relatedName P3889 FINISHED
Object Lauri E203471 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: Lauri | Statement: [Lasse, relatedName, Lauri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lauri
Context triple: [Lasse, relatedName, Lauri]
  • A. Lauri chosen
    Lauri is a Finnish given name commonly used for men, notably borne by former President of Finland Lauri Kristian Relander.
  • B. Laur
    Laur is a rural municipality in the province of Nueva Ecija in the Philippines, known for its agricultural landscape and proximity to the Sierra Madre mountain range.
  • C. Lari
    Lari is a town in Kenya’s Central Region, known for its agricultural activities and its location within Kiambu County.
  • D. Lari
    Lari is a regional dialect of the Sindhi language spoken primarily in parts of Sindh, Pakistan.
  • E. Laurits
    Laurits is a given name, primarily used in Scandinavian countries, that is a variant of the name Lars.
  • 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e6b55248190ab938e69eb263612 completed April 10, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6850ac1808190a9b547d934252d10 completed May 2, 2026, 11:13 p.m.
Created at: April 9, 2026, 5:30 p.m.