Triple

T13847395
Position Surface form Disambiguated ID Type / Status
Subject Blayney Shire E332842 entity
Predicate containsLocality P45140 FINISHED
Object Vittoria
Vittoria is a small rural locality situated within the Blayney Shire region of New South Wales, Australia.
 E1065695 NE FINISHED

How this triple was built (4 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: Vittoria | Statement: [Blayney Shire, containsLocality, Vittoria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vittoria
Context triple: [Blayney Shire, containsLocality, Vittoria]
  • A. Vittoria
    Vittoria is the Italian form of the name Victoria, commonly used as a female given name and place name in Italy.
  • B. Ludovica
    Ludovica is an Italian feminine given name, traditionally associated with nobility and derived from the same Germanic roots as names like Louise and Ludwig.
  • C. Vincenza
    Vincenza is an Italian feminine given name, commonly used as the female counterpart of Vincenzo.
  • D. Guglielma
    Guglielma is an Italian feminine given name, serving as the female variant of Guglielmo (William).
  • E. Letizia
    Letizia is a feminine given name of Italian origin, famously borne by Maria Letizia Ramolino, the mother of Napoleon Bonaparte.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vittoria
Triple: [Blayney Shire, containsLocality, Vittoria]
Generated description
Vittoria is a small rural locality situated within the Blayney Shire region of New South Wales, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vittoria
Target entity description: Vittoria is a small rural locality situated within the Blayney Shire region of New South Wales, Australia.
  • A. Vittoria
    Vittoria is the Italian form of the name Victoria, commonly used as a female given name and place name in Italy.
  • B. Ludovica
    Ludovica is an Italian feminine given name, traditionally associated with nobility and derived from the same Germanic roots as names like Louise and Ludwig.
  • C. Vincenza
    Vincenza is an Italian feminine given name, commonly used as the female counterpart of Vincenzo.
  • D. Guglielma
    Guglielma is an Italian feminine given name, serving as the female variant of Guglielmo (William).
  • E. Letizia
    Letizia is a feminine given name of Italian origin, famously borne by Maria Letizia Ramolino, the mother of Napoleon Bonaparte.
  • F. None of above. chosen

Provenance (5 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02b2a9788190b164760adec64ef6 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0f189008190bb9afeef42564a33 completed May 3, 2026, 9:41 p.m.
NEDg Description generation batch_69f7c23410dc8190972245cecfa85871 completed May 3, 2026, 9:46 p.m.
NED2 Entity disambiguation (via description) batch_69f7c3031a0c8190ad30d59fe1f2322e completed May 3, 2026, 9:49 p.m.
Created at: April 9, 2026, 10:14 p.m.