Triple

T3979815
Position Surface form Disambiguated ID Type / Status
Subject Molteni E85728 entity
Predicate basedIn P40 FINISHED
Object Arcore
Arcore is a small town in the Lombardy region of northern Italy, known for its historic villas and proximity to Milan.
E403245 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: Arcore | Statement: [Molteni, basedIn, Arcore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arcore
Context triple: [Molteni, basedIn, Arcore]
  • A. Arkasa
    Arkasa is a coastal village on the Greek island of Karpathos, known for its scenic beaches and nearby ancient archaeological sites.
  • B. Arkesini
    Arkesini is a small traditional village on the Greek island of Amorgos, known for its ancient ruins and scenic Aegean setting.
  • C. Avallon
    Avallon is a historic commune in central France known for its medieval architecture and scenic location on a granite outcrop in the Burgundy region.
  • D. Aternus
    Aternus is an ancient river in central Italy historically associated with the territory of the Marrucini people.
  • E. Marval
    Marval is an actor known for appearing in the landmark 1929 surrealist film "Un Chien Andalou," directed by Luis Buñuel and co-written with Salvador Dalí.
  • 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: Arcore
Triple: [Molteni, basedIn, Arcore]
Generated description
Arcore is a small town in the Lombardy region of northern Italy, known for its historic villas and proximity to Milan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arcore
Target entity description: Arcore is a small town in the Lombardy region of northern Italy, known for its historic villas and proximity to Milan.
  • A. Arkasa
    Arkasa is a coastal village on the Greek island of Karpathos, known for its scenic beaches and nearby ancient archaeological sites.
  • B. Arkesini
    Arkesini is a small traditional village on the Greek island of Amorgos, known for its ancient ruins and scenic Aegean setting.
  • C. Avallon
    Avallon is a historic commune in central France known for its medieval architecture and scenic location on a granite outcrop in the Burgundy region.
  • D. Aternus
    Aternus is an ancient river in central Italy historically associated with the territory of the Marrucini people.
  • E. Marval
    Marval is an actor known for appearing in the landmark 1929 surrealist film "Un Chien Andalou," directed by Luis Buñuel and co-written with Salvador Dalí.
  • 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_69aed93908348190a26c8aaf4fab3e86 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9bb89e8819087703a7af5bbcfc1 completed March 9, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54021ae388190a9518ea85b760736 completed March 14, 2026, 11:01 a.m.
NEDg Description generation batch_69b541340dbc819081538517267f390f completed March 14, 2026, 11:06 a.m.
NED2 Entity disambiguation (via description) batch_69b54193105c81909e2a4e368aae36e8 completed March 14, 2026, 11:08 a.m.
Created at: March 9, 2026, 3:33 p.m.