Triple

T21738079
Position Surface form Disambiguated ID Type / Status
Subject Pallanza E536577 entity
Predicate administrativeDivisionOf P747 FINISHED
Object Verbania 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: Verbania | Statement: [Pallanza, administrativeDivisionOf, Verbania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Verbania
Context triple: [Pallanza, administrativeDivisionOf, Verbania]
  • A. Verbania chosen
    Verbania is a lakeside city in northern Italy, situated on the shores of Lake Maggiore near the Swiss border.
  • B. Parbhani
    Parbhani is a significant city in the Marathwada region of Maharashtra, India, known as an important commercial and educational center.
  • C. Chiplun
    Chiplun is a town in Maharashtra, India, situated along the Vashishti River and known as a commercial and transport hub in the Konkan region.
  • D. Jwalapur
    Jwalapur is a prominent suburban town and commercial hub near Haridwar in the Indian state of Uttarakhand.
  • E. Mauganj
    Mauganj is a legislative assembly constituency in the Indian state of Madhya Pradesh.
  • 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_69e0c46df5448190b4322127ffc4c690 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69effd0d33dc81908a4a79abc33355d1 completed April 28, 2026, 12:19 a.m.
Created at: April 16, 2026, 6:49 p.m.