Triple

T33443435
Position Surface form Disambiguated ID Type / Status
Subject Bonea E856425 entity
Predicate isInItalianProvince P20236 FINISHED
Object Benevento 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: Benevento | Statement: [Bonea, isInItalianProvince, Benevento]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isInItalianProvince
Context triple: [Bonea, isInItalianProvince, Benevento]
  • A. locatedInRegionOfItaly
    Indicates that an entity is geographically situated within a specific region of Italy.
  • B. isInProvince chosen
    Indicates that one entity (typically a place or city) is located within the administrative boundaries of a specified province.
  • C. isProvinceOf
    Indicates that one region holds the administrative status of a province within, and is governed as a subnational division of, another political entity.
  • D. isOnlyLatinProvinceIn
    Indicates that a province is the sole Latin province within a specified larger territorial or administrative entity.
  • E. nearestMajorItalianRegion
    Indicates the relationship where a location is associated with the geographically closest major administrative region of Italy.
  • F. None of above.

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_69f34971b75881908be360bb041f003c completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6f8164698819090c1b471f1caa4c6 completed May 3, 2026, 7:24 a.m.
PD Predicate disambiguation batch_69f6f6619404819084662aef1238261c completed May 3, 2026, 7:16 a.m.
Created at: May 1, 2026, 1:37 a.m.