Triple

T5097276
Position Surface form Disambiguated ID Type / Status
Subject Margarida E114896 entity
Predicate hasDiminutiveForm P456 FINISHED
Object Margaridinha E114896 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: Margaridinha | Statement: [Margarida, hasDiminutiveForm, Margaridinha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaridinha
Context triple: [Margarida, hasDiminutiveForm, Margaridinha]
  • A. Margarida chosen
    Margarida is a given name, commonly used in Portuguese and Catalan, that corresponds to the English name Margaret.
  • B. Maripipi
    Maripipi is a small island municipality in the province of Biliran in the Eastern Visayas region of the Philippines, known for its coastal communities and scenic marine environment.
  • C. Margeride
    Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
  • D. Mariquita
    Mariquita is a historic town in central Colombia known as an early colonial settlement and former mining center.
  • E. Marica
    Marica is a figure in Roman mythology, often associated with the Latin king Latinus as his mother and sometimes linked to a local water or nymph deity.
  • 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_69bd443fc49c819089629c00e311310c completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75669afc81908a8db897fe56eccd completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba80aee081908498cbe9d4f2eaa7 completed March 21, 2026, 3:34 p.m.
Created at: March 20, 2026, 1:40 p.m.