Triple

T12071100
Position Surface form Disambiguated ID Type / Status
Subject Aurisina E287422 entity
Predicate locatedNear P294 FINISHED
Object Sistiana E618601 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: Sistiana | Statement: [Aurisina, locatedNear, Sistiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sistiana
Context triple: [Aurisina, locatedNear, Sistiana]
  • A. Sistiana chosen
    Sistiana is a coastal village in northeastern Italy’s Friuli-Venezia Giulia region, known for its scenic bay on the Adriatic Sea and proximity to the historic Duino Castle.
  • B. Savia
    Savia was a late Roman province in the region of Pannonia, roughly corresponding to parts of modern-day Slovenia and Croatia.
  • C. Trisaia
    Trisaia is an ENEA research center site in southern Italy known for its activities in energy, environmental, and nuclear technology research.
  • D. Salleri
    Salleri is a town in eastern Nepal that serves as the main commercial and administrative center of the Solukhumbu region, gateway to the Everest area.
  • E. Nigoglia
    Nigoglia is the short river in northern Italy that uniquely flows northward out of Lake Orta toward the Strona and ultimately the Toce River.
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9045a507081909070ea37173d6f97 completed April 10, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a683a108190b8f05c40ecda5f0e completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:48 p.m.