Triple

T35293713
Position Surface form Disambiguated ID Type / Status
Subject Legnanesi E1019297 entity
Predicate gentilicSingularMasculine P180425 FINISHED
Object Legnanese
Legnanese is the Italian term for a male inhabitant or native of the city of Legnano in Lombardy, Italy.
 E2135662 NE FINISHED

How this triple was built (3 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: Legnanese | Statement: [Legnanesi, gentilicSingularMasculine, Legnanese]
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: Legnanese
Triple: [Legnanesi, gentilicSingularMasculine, Legnanese]
Generated description
Legnanese is the Italian term for a male inhabitant or native of the city of Legnano in Lombardy, Italy.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: gentilicSingularMasculine
Context triple: [Legnanesi, gentilicSingularMasculine, Legnanese]
  • A. gentilicium
    Indicates that an entity’s family or clan affiliation is expressed through a gentilic (family) name.
  • B. hasGentilicForm chosen
    Indicates that one term is the gentilic (demonym or adjectival form denoting origin or affiliation) derived from or associated with another term.
  • C. usesGentilicFor
    Indicates that one entity refers to another using a gentilic (a demonym or term denoting origin, nationality, or regional affiliation).
  • D. gentilicLanguage
    Indicates that a language is associated with or derived from a particular gentilic (demonym) for a people or place.
  • E. correspondingMasculinePatronymic
    Indicates that one name is the masculine patronymic form that corresponds to another base name or related name.
  • F. None of above.

Provenance (6 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_69f76de7eedc8190a3bdc64ebbc05b42 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f79533b88c8190934ec4cb21770e24 completed May 3, 2026, 6:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3819e3efcc8190a97b43c36fae4044 completed June 21, 2026, 5:05 p.m.
NEDg Description generation batch_6a381a741c588190b8332581af368605 completed June 21, 2026, 5:08 p.m.
NED2 Entity disambiguation (via description) batch_6a381c1b80a8819083e8217b6d111673 completed June 21, 2026, 5:15 p.m.
PD Predicate disambiguation batch_69f79104f5b48190a496cdffde8472da completed May 3, 2026, 6:16 p.m.
Created at: May 3, 2026, 4:03 p.m.