Triple

T19835639
Position Surface form Disambiguated ID Type / Status
Subject Histonium E476585 entity
Predicate hasModernLocation P43602 FINISHED
Object Vasto 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: Vasto | Statement: [Histonium, hasModernLocation, Vasto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vasto
Context triple: [Histonium, hasModernLocation, Vasto]
  • A. Vasto chosen
    Vasto is a historic coastal town in Italy’s Abruzzo region, known for its medieval center and views over the Adriatic Sea.
  • B. Tuusula
    Tuusula is a municipality in southern Finland known for its lakeside landscapes and rich cultural history, particularly as a former home to many prominent Finnish artists.
  • C. Forssa
    Forssa is a small industrial town in southern Finland known for its textile heritage and location in the Tavastia Proper region.
  • D. Töölö
    Töölö is a central district of Helsinki, Finland, known for its early 20th-century architecture, cultural institutions, and proximity to the city’s major parks and waterfront.
  • E. Kirkee
    Kirkee is a cantonment town near Pune in Maharashtra, India, historically notable as the site of a major Anglo-Maratha War battle.
  • 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.