Triple

T15887529
Position Surface form Disambiguated ID Type / Status
Subject Strada Statale 163 Amalfitana E385227 entity
Predicate passesThrough P225 FINISHED
Object Atrani E385224 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: Atrani | Statement: [Strada Statale 163 Amalfitana, passesThrough, Atrani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atrani
Context triple: [Strada Statale 163 Amalfitana, passesThrough, Atrani]
  • A. Atrani chosen
    Atrani is a tiny, picturesque fishing village and seaside town in southern Italy, known for its medieval architecture and dramatic setting on the Amalfi Coast.
  • B. Amalner
    Amalner is a town in the Indian state of Maharashtra known for its textile industry and as the birthplace of the Wipro company.
  • C. Udhna
    Udhna is an industrial and residential suburb located within the city of Surat in the Indian state of Gujarat.
  • D. Chalus
    Chalus is a coastal city in northern Iran on the Caspian Sea, known for its scenic landscapes and as a popular tourist destination.
  • E. Kharadi
    Kharadi is a rapidly developing suburb in Pune, India, known as a major IT and business hub with modern infrastructure and residential complexes.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1561b6fb48190adcf8277e1895fda completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb04598e0819094274868941195b9 completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:51 a.m.