Triple

T16561534
Position Surface form Disambiguated ID Type / Status
Subject Ponte di Legno E402349 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Peio
Peio is a mountain municipality in northern Italy’s Trentino region, known for its alpine landscapes, ski areas, and thermal spa facilities.
E1220159 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: Peio | Statement: [Ponte di Legno, hasNeighbouringMunicipality, Peio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peio
Context triple: [Ponte di Legno, hasNeighbouringMunicipality, Peio]
  • A. Païta
    Païta is a suburban commune and growing residential area near Nouméa on the main island of New Caledonia in the South Province.
  • B. Baniva
    Baniva is an alternate name for the Baniwa language, an Arawakan language spoken by Indigenous communities in the northwest Amazon region of Brazil, Colombia, and Venezuela.
  • C. Tuamasaga
    Tuamasaga is a political district on the island of Upolu in Samoa that includes the capital city, Apia, and surrounding areas.
  • D. Penaia
    Penaia is a Fijian given name most notably borne by Ratu Sir Penaia Ganilau, the first President of Fiji.
  • E. Tevita
    Tevita is a given name commonly used in Fiji and other Pacific Island cultures, equivalent to the English name David.
  • 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: Peio
Triple: [Ponte di Legno, hasNeighbouringMunicipality, Peio]
Generated description
Peio is a mountain municipality in northern Italy’s Trentino region, known for its alpine landscapes, ski areas, and thermal spa facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Peio
Target entity description: Peio is a mountain municipality in northern Italy’s Trentino region, known for its alpine landscapes, ski areas, and thermal spa facilities.
  • A. Païta
    Païta is a suburban commune and growing residential area near Nouméa on the main island of New Caledonia in the South Province.
  • B. Baniva
    Baniva is an alternate name for the Baniwa language, an Arawakan language spoken by Indigenous communities in the northwest Amazon region of Brazil, Colombia, and Venezuela.
  • C. Tuamasaga
    Tuamasaga is a political district on the island of Upolu in Samoa that includes the capital city, Apia, and surrounding areas.
  • D. Penaia
    Penaia is a Fijian given name most notably borne by Ratu Sir Penaia Ganilau, the first President of Fiji.
  • E. Tevita
    Tevita is a given name commonly used in Fiji and other Pacific Island cultures, equivalent to the English name David.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3576eb63081908cb5dc6c0a8a13ac completed April 18, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067be809c81909c93eb1253fbf8e5 completed May 10, 2026, 11:10 a.m.
NEDg Description generation batch_6a006a4c343481909bf56cad83f3ed81 completed May 10, 2026, 11:21 a.m.
NED2 Entity disambiguation (via description) batch_6a006afcbdb88190b34bfe6f4cc0fd40 completed May 10, 2026, 11:24 a.m.
Created at: April 10, 2026, 5:15 a.m.