Triple

T19446366
Position Surface form Disambiguated ID Type / Status
Subject Province of Chieti E486488 entity
Predicate contains P35 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: [Province of Chieti, contains, Vasto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vasto
Context triple: [Province of Chieti, contains, 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6338a22608190bb31a1690ca0dab6 completed April 20, 2026, 2:09 p.m.
Created at: April 10, 2026, 1:38 p.m.