Triple

T17772480
Position Surface form Disambiguated ID Type / Status
Subject Margarete E443674 entity
Predicate hasEtymologicalRoot P5801 FINISHED
Object Margarites NE NERFINISHED

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: Margarites | Statement: [Margarete, hasEtymologicalRoot, Margarites]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margarites
Context triple: [Margarete, hasEtymologicalRoot, Margarites]
  • A. Margarites chosen
    Margarites is a genus of small marine snails, commonly known as margarite top shells, found in cold and temperate seas.
  • B. Topazia
    Topazia is an Italian given name, notably borne by Topazia Caetani, a member of the prominent Caetani noble family.
  • C. Mastichari
    Mastichari is a coastal village on the Greek island of Kos, known for its sandy beaches, ferry connections to nearby islands, and relaxed holiday atmosphere.
  • D. Gemas
    Gemas is a town in Negeri Sembilan, Malaysia, best known as a major railway junction connecting the west and east coast lines of the national rail network.
  • E. Perledo
    Perledo is a small Italian village in the Lombardy region overlooking Lake Como, known for its scenic hillside views near the town of Varenna.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4871a2130819081743ae89dddc64b completed April 19, 2026, 7:41 a.m.
Created at: April 10, 2026, 10:11 a.m.