Triple

T8092109
Position Surface form Disambiguated ID Type / Status
Subject Fermo E188889 entity
Predicate demonym P191 FINISHED
Object Fermani
Fermani are the inhabitants or natives of the Italian city of Fermo, located in the Marche region.
E710682 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: Fermani | Statement: [Fermo, demonym, Fermani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fermani
Context triple: [Fermo, demonym, Fermani]
  • A. Molinaro
    Molinaro is an Italian occupational surname, historically associated with millers and derived from the same root as "Molinero."
  • B. Manfredi
    Manfredi is an architect best known as one of the co-founders and principals of the New York–based architecture firm Weiss/Manfredi.
  • C. Mornello
    Mornello is a locality or frazione within the municipality of Cernobbio in the Province of Como, Lombardy, northern Italy.
  • D. Forlani
    Forlani is an Italian surname most notably associated with English actress Claire Forlani.
  • E. Frentani
    The Frentani were an ancient Italic tribe inhabiting the Adriatic coast of central Italy, known for their interactions and eventual alliance with the Roman Republic.
  • 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: Fermani
Triple: [Fermo, demonym, Fermani]
Generated description
Fermani are the inhabitants or natives of the Italian city of Fermo, located in the Marche region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fermani
Target entity description: Fermani are the inhabitants or natives of the Italian city of Fermo, located in the Marche region.
  • A. Molinaro
    Molinaro is an Italian occupational surname, historically associated with millers and derived from the same root as "Molinero."
  • B. Manfredi
    Manfredi is an architect best known as one of the co-founders and principals of the New York–based architecture firm Weiss/Manfredi.
  • C. Mornello
    Mornello is a locality or frazione within the municipality of Cernobbio in the Province of Como, Lombardy, northern Italy.
  • D. Forlani
    Forlani is an Italian surname most notably associated with English actress Claire Forlani.
  • E. Frentani
    The Frentani were an ancient Italic tribe inhabiting the Adriatic coast of central Italy, known for their interactions and eventual alliance with the Roman Republic.
  • 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_69ca82b7b3e88190b9041ab0ef28b3cb completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42217a1881909792b08a2f06fb75 completed March 31, 2026, 3:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc640dbab881908a8142ac472f3408 completed April 1, 2026, 12:17 a.m.
NEDg Description generation batch_69cc651e3b4c81908408c9f08eca8e09 completed April 1, 2026, 12:21 a.m.
NED2 Entity disambiguation (via description) batch_69cc69531a3c8190b712b3df6beefb7b completed April 1, 2026, 12:39 a.m.
Created at: March 30, 2026, 5:30 p.m.