Triple

T7526534
Position Surface form Disambiguated ID Type / Status
Subject Aloisia E177906 entity
Predicate hasVariant P455 FINISHED
Object Aloisia (with diacritics, regional variants) E177906 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: Aloisia (with diacritics, regional variants) | Statement: [Aloisia, hasVariant, Aloisia (with diacritics, regional variants)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aloisia (with diacritics, regional variants)
Context triple: [Aloisia, hasVariant, Aloisia (with diacritics, regional variants)]
  • A. Alao
    Alao is a coastal village located on the eastern end of Tutuila Island in American Samoa.
  • B. ALO
    ALO is the three-letter IATA airport code for Waterloo Regional Airport in Waterloo, Iowa, United States.
  • C. ALO
    ALO is the Arab Labor Organization, a specialized Arab League body that promotes labor standards, employment policies, and workers’ rights across Arab countries.
  • D. Alope
    Alope is a figure in Greek mythology, known as the daughter of Cercyon who was loved by the sea god Poseidon and transformed into a spring or a sea creature after her tragic death.
  • E. Aloisia chosen
    Aloisia is a feminine given name, used as an alternative spelling of Aloysia and related to names like Aloysius and Louise.
  • 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_69c69f29bf3081909a146aec7755f185 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f81b431481908214b69c6c8d83bc completed March 27, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84635feb881908930bf355ac56a47 completed March 28, 2026, 9:20 p.m.
Created at: March 27, 2026, 3:47 p.m.