Triple

T19289928
Position Surface form Disambiguated ID Type / Status
Subject Albino E482412 entity
Predicate hasSubdivision P747 FINISHED
Object Perola
Perola is a locality or administrative subdivision within the municipality of Albino in northern Italy.
 E1367202 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: Perola | Statement: [Albino, hasSubdivision, Perola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Perola
Context triple: [Albino, hasSubdivision, Perola]
  • A. Perla
    Perla is a Mexican telenovela best known for starring actress Silvia Navarro in one of her early prominent roles.
  • B. Perledo
    Perledo is a small Italian village in the Lombardy region overlooking Lake Como, known for its scenic hillside views near the town of Varenna.
  • C. Perle
    Perle is the given name of Perle Fine, an American abstract expressionist painter associated with the New York School.
  • D. La Perla
    La Perla is a small municipality in the Mexican state of Veracruz that forms part of the Orizaba metropolitan area.
  • E. La Perla
    La Perla is a coastal urban district within the Lima metropolitan area of Peru, known for its dense residential neighborhoods and proximity to the Pacific Ocean.
  • 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: Perola
Triple: [Albino, hasSubdivision, Perola]
Generated description
Perola is a locality or administrative subdivision within the municipality of Albino in northern Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Perola
Target entity description: Perola is a locality or administrative subdivision within the municipality of Albino in northern Italy.
  • A. Perla
    Perla is a Mexican telenovela best known for starring actress Silvia Navarro in one of her early prominent roles.
  • B. Perledo
    Perledo is a small Italian village in the Lombardy region overlooking Lake Como, known for its scenic hillside views near the town of Varenna.
  • C. Perle
    Perle is the given name of Perle Fine, an American abstract expressionist painter associated with the New York School.
  • D. La Perla
    La Perla is a small municipality in the Mexican state of Veracruz that forms part of the Orizaba metropolitan area.
  • E. La Perla
    La Perla is a coastal urban district within the Lima metropolitan area of Peru, known for its dense residential neighborhoods and proximity to the Pacific Ocean.
  • 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc050a888190ac204d1e736200c5 completed April 20, 2026, 10:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a070e84b7888190963da07ec7624402 completed May 15, 2026, 12:16 p.m.
NEDg Description generation batch_6a070ee343008190a1be4338889ae540 completed May 15, 2026, 12:17 p.m.
NED2 Entity disambiguation (via description) batch_6a070f5c89348190925244dd0460bcdc completed May 15, 2026, 12:19 p.m.
Created at: April 10, 2026, 1:30 p.m.