Triple

T10457210
Position Surface form Disambiguated ID Type / Status
Subject Comune of Verbania E246577 entity
Predicate hasPart P35 FINISHED
Object Suna E671517 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: Suna | Statement: [Comune of Verbania, hasPart, Suna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suna
Context triple: [Comune of Verbania, hasPart, Suna]
  • A. Suna chosen
    Suna is a locality and former independent municipality that now forms a lakeside district of the city of Verbania in northern Italy, on the shores of Lake Maggiore.
  • B. Saura
    Saura is a Spanish surname most prominently associated with acclaimed film director Carlos Saura.
  • C. Suna Besha
    Suna Besha is a ceremonial adornment of the deities of the Jagannath Temple in Puri, during which they are richly decorated with gold ornaments, especially on the chariots after the Rath Yatra.
  • D. Dasuya
    Dasuya is a town and municipal council in the Hoshiarpur district of Punjab, India, known historically as a significant settlement in the region.
  • E. Sabbia
    Sabbia is an off-road-oriented driving mode in the Lamborghini Urus optimized for performance and stability on sand and loose surfaces.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fe498a808190b88530f0221df4a6 completed April 7, 2026, 12:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87f182cb481909f838d6d1dfa7e79 completed April 10, 2026, 4:39 a.m.
Created at: April 6, 2026, 12:18 p.m.