Triple

T19835635
Position Surface form Disambiguated ID Type / Status
Subject Histonium E476585 entity
Predicate culture P1114 FINISHED
Object Frentani 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: Frentani | Statement: [Histonium, culture, Frentani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frentani
Context triple: [Histonium, culture, Frentani]
  • A. Frentani chosen
    The Frentani were an ancient Italic tribe inhabiting the Adriatic coast of central Italy, known for their interactions and eventual alliance with the Roman Republic.
  • B. Forlani
    Forlani is an Italian surname most notably associated with English actress Claire Forlani.
  • C. Fravarti
    Fravarti is an alternative transliteration of "Fravashi," a Zoroastrian concept referring to a guardian spirit or pre-existing higher soul.
  • D. Francqui
    Francqui is a Belgian surname most notably associated with Émile Francqui, a prominent early 20th-century businessman, diplomat, and philanthropist.
  • E. Faskally
    Faskally is a small settlement in Perth and Kinross, Scotland, known for its scenic woodland surroundings and proximity to Loch Faskally and the River Tummel.
  • 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e656d0e738819093000d3307962328 completed April 20, 2026, 4:39 p.m.
Created at: April 10, 2026, 1:50 p.m.