Triple

T22514830
Position Surface form Disambiguated ID Type / Status
Subject Piedmont railway network E556613 entity
Predicate connectsCity P4245 FINISHED
Object Ovada 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: Ovada | Statement: [Piedmont railway network, connectsCity, Ovada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ovada
Context triple: [Piedmont railway network, connectsCity, Ovada]
  • A. Ovada chosen
    Ovada is a small town in the Piedmont region of northwestern Italy, known for its wine production and location within the historical area of Monferrato.
  • B. Ovilava
    Ovilava was a major Roman-era city in the province of Noricum, located at the site of modern Wels in present-day Austria.
  • C. Oliwa
    Oliwa is a historic district of Gdańsk in northern Poland, known for its medieval monastery complex, cathedral, and role in regional maritime history.
  • D. Veroli
    Veroli is a historic hill town in central Italy’s Lazio region, known for its medieval architecture and ancient roots dating back to the Hernici people.
  • E. Osânda
    Osânda is a Romanian film directed by Sergiu Nicolaescu, known as a dramatic adaptation of Liviu Rebreanu’s novel "Vălul roșu" that explores themes of guilt, punishment, and moral decay.
  • 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15e2c3098819098a553133cc9515b completed April 29, 2026, 1:26 a.m.
Created at: April 16, 2026, 8:50 p.m.