Triple

T12756168
Position Surface form Disambiguated ID Type / Status
Subject Province of Piacenza E304864 entity
Predicate contains P35 FINISHED
Object Alseno
Alseno is a small municipality in northern Italy’s Emilia-Romagna region, known for its agricultural landscape and historic rural character.
E1001831 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: Alseno | Statement: [Province of Piacenza, contains, Alseno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alseno
Context triple: [Province of Piacenza, contains, Alseno]
  • A. Acesines
    Acesines is the ancient Greek name for the Chenab River, a major river of the Punjab region in South Asia.
  • B. Navarcles
    Navarcles is a municipality in the comarca of Bages in Catalonia, Spain, known for its location near the Llobregat and Calders rivers.
  • C. Osuna
    Osuna is a historic town in the province of Seville, Spain, known for its rich archaeological heritage, including notable ancient reliefs and other Roman-era remains.
  • D. Arganzuela
    Arganzuela is a central district of Madrid, Spain, known for its extensive redevelopment along the Manzanares River and its mix of residential areas, cultural venues, and green spaces.
  • E. Illueca
    Illueca is a small town in the province of Zaragoza, Aragon, Spain, known historically as the birthplace of Pope Benedict XIII (Pedro de Luna).
  • 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: Alseno
Triple: [Province of Piacenza, contains, Alseno]
Generated description
Alseno is a small municipality in northern Italy’s Emilia-Romagna region, known for its agricultural landscape and historic rural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alseno
Target entity description: Alseno is a small municipality in northern Italy’s Emilia-Romagna region, known for its agricultural landscape and historic rural character.
  • A. Acesines
    Acesines is the ancient Greek name for the Chenab River, a major river of the Punjab region in South Asia.
  • B. Navarcles
    Navarcles is a municipality in the comarca of Bages in Catalonia, Spain, known for its location near the Llobregat and Calders rivers.
  • C. Osuna
    Osuna is a historic town in the province of Seville, Spain, known for its rich archaeological heritage, including notable ancient reliefs and other Roman-era remains.
  • D. Arganzuela
    Arganzuela is a central district of Madrid, Spain, known for its extensive redevelopment along the Manzanares River and its mix of residential areas, cultural venues, and green spaces.
  • E. Illueca
    Illueca is a small town in the province of Zaragoza, Aragon, Spain, known historically as the birthplace of Pope Benedict XIII (Pedro de Luna).
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d8b57b88190b29b8fdca415c81c completed April 10, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684f08fac8190b8c480619696bcd1 completed May 2, 2026, 11:12 p.m.
NEDg Description generation batch_69f6863fada48190afe2ff7896a60094 completed May 2, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69f686bcac94819088782273effbb06a completed May 2, 2026, 11:20 p.m.
Created at: April 9, 2026, 5:27 p.m.