Triple

T8032626
Position Surface form Disambiguated ID Type / Status
Subject Perledo E187023 entity
Predicate locatedNear P294 FINISHED
Object Lierna
Lierna is a small lakeside village on the eastern shore of Lake Como in northern Italy, known for its scenic views and historic stone hamlets.
 E708433 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: Lierna | Statement: [Perledo, locatedNear, Lierna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lierna
Context triple: [Perledo, locatedNear, Lierna]
  • A. Lierne
    Lierne is a sparsely populated municipality in Trøndelag county, Norway, known for its vast wilderness areas, national parks, and rich wildlife.
  • B. Laerru
    Laerru is a small municipality in the Gallura region of northern Sardinia, Italy, known for its rural character and traditional Sardinian culture.
  • C. Eliada
    Eliada is a lesser-known biblical figure mentioned in the Old Testament as one of King David’s sons.
  • D. Lelylaan
    Lelylaan is a transport hub and railway/metro station in Amsterdam’s Nieuw-West district, connecting metro, train, tram, and bus services.
  • E. Dorla
    Dorla are an indigenous Adivasi community of the Bastar region in central India, known for their distinct cultural traditions, language, and close relationship with forest-based livelihoods.
  • 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: Lierna
Triple: [Perledo, locatedNear, Lierna]
Generated description
Lierna is a small lakeside village on the eastern shore of Lake Como in northern Italy, known for its scenic views and historic stone hamlets.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lierna
Target entity description: Lierna is a small lakeside village on the eastern shore of Lake Como in northern Italy, known for its scenic views and historic stone hamlets.
  • A. Lierne
    Lierne is a sparsely populated municipality in Trøndelag county, Norway, known for its vast wilderness areas, national parks, and rich wildlife.
  • B. Laerru
    Laerru is a small municipality in the Gallura region of northern Sardinia, Italy, known for its rural character and traditional Sardinian culture.
  • C. Eliada
    Eliada is a lesser-known biblical figure mentioned in the Old Testament as one of King David’s sons.
  • D. Lelylaan
    Lelylaan is a transport hub and railway/metro station in Amsterdam’s Nieuw-West district, connecting metro, train, tram, and bus services.
  • E. Dorla
    Dorla are an indigenous Adivasi community of the Bastar region in central India, known for their distinct cultural traditions, language, and close relationship with forest-based livelihoods.
  • 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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ef18da48190835454a5eb969da7 completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56e812dc81908916fc7163ae344a completed March 31, 2026, 11:21 p.m.
NEDg Description generation batch_69cc58abd96c8190ab9eeaece67d5408 completed March 31, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_69cc5cc2f71081909cb7c0c245368edb completed March 31, 2026, 11:46 p.m.
Created at: March 30, 2026, 5:22 p.m.