Triple

T10925984
Position Surface form Disambiguated ID Type / Status
Subject Vacallo E258066 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Parè
Parè is a small municipality in the Province of Como in the Lombardy region of northern Italy, near the Swiss border.
 E893507 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: Parè | Statement: [Vacallo, hasNeighboringMunicipality, Parè]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Parè
Context triple: [Vacallo, hasNeighboringMunicipality, Parè]
  • A. Parea
    Parea is a small coastal village on the island of Huahine in French Polynesia, known for its tranquil beaches and traditional Polynesian atmosphere.
  • B. Partev
    Partev is an Armenian surname historically associated with notable figures such as religious leaders and scholars.
  • C. Paravaqar
    Paravaqar is a small town located in Armenia's northeastern Tavush Province, known for its rural setting and proximity to forested, mountainous landscapes.
  • D. Parai
    Parai is a traditional Tamil frame drum used in folk music, rituals, and social gatherings, often associated with ceremonial and community performances.
  • E. Perrineau
    Perrineau is the surname of American actor Harold Perrineau, known for his roles in television series like "Lost" and "Oz."
  • 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: Parè
Triple: [Vacallo, hasNeighboringMunicipality, Parè]
Generated description
Parè is a small municipality in the Province of Como in the Lombardy region of northern Italy, near the Swiss border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Parè
Target entity description: Parè is a small municipality in the Province of Como in the Lombardy region of northern Italy, near the Swiss border.
  • A. Parea
    Parea is a small coastal village on the island of Huahine in French Polynesia, known for its tranquil beaches and traditional Polynesian atmosphere.
  • B. Partev
    Partev is an Armenian surname historically associated with notable figures such as religious leaders and scholars.
  • C. Paravaqar
    Paravaqar is a small town located in Armenia's northeastern Tavush Province, known for its rural setting and proximity to forested, mountainous landscapes.
  • D. Parai
    Parai is a traditional Tamil frame drum used in folk music, rituals, and social gatherings, often associated with ceremonial and community performances.
  • E. Perrineau
    Perrineau is the surname of American actor Harold Perrineau, known for his roles in television series like "Lost" and "Oz."
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77090997881909d81b15c6cdfd91c completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e217369b648190914c58db6f6e0200 completed April 17, 2026, 11:19 a.m.
NEDg Description generation batch_69e21d8aea2881908ac8f5225b8739c5 completed April 17, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_69e21eb18a1881908ded331db89063ed completed April 17, 2026, 11:51 a.m.
Created at: April 8, 2026, 9:22 p.m.