Triple

T2007318
Position Surface form Disambiguated ID Type / Status
Subject Carabinieri E43614 entity
Predicate hasRank P337 FINISHED
Object Carabiniere
A Carabiniere is an enlisted member of Italy’s national gendarmerie, serving as a basic-level law enforcement and military police officer.
E43614 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: Carabiniere | Statement: [Carabinieri, hasRank, Carabiniere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carabiniere
Context triple: [Carabinieri, hasRank, Carabiniere]
  • A. Carabinieri
    The Carabinieri is Italy’s national gendarmerie and military police force, responsible for both civilian law enforcement and national security duties.
  • B. La Guardia
    La Guardia is an Italian-origin surname most famously associated with Fiorello H. La Guardia, the influential three-term mayor of New York City in the early 20th century.
  • C. Squadristi
    The Squadristi were Italian Fascist paramilitary squads, known for their black-shirt uniforms and violent suppression of political opponents during the rise of Benito Mussolini.
  • D. Figan
    Figan is an individual known primarily through their familial relationship as the child of Flo.
  • E. Saho
    Saho is a Cushitic language spoken primarily by the Saho people in Eritrea and neighboring regions of the Horn of Africa.
  • 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: Carabiniere
Triple: [Carabinieri, hasRank, Carabiniere]
Generated description
A Carabiniere is an enlisted member of Italy’s national gendarmerie, serving as a basic-level law enforcement and military police officer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Carabiniere
Target entity description: A Carabiniere is an enlisted member of Italy’s national gendarmerie, serving as a basic-level law enforcement and military police officer.
  • A. Carabinieri chosen
    The Carabinieri is Italy’s national gendarmerie and military police force, responsible for both civilian law enforcement and national security duties.
  • B. La Guardia
    La Guardia is an Italian-origin surname most famously associated with Fiorello H. La Guardia, the influential three-term mayor of New York City in the early 20th century.
  • C. Squadristi
    The Squadristi were Italian Fascist paramilitary squads, known for their black-shirt uniforms and violent suppression of political opponents during the rise of Benito Mussolini.
  • D. Figan
    Figan is an individual known primarily through their familial relationship as the child of Flo.
  • E. Saho
    Saho is a Cushitic language spoken primarily by the Saho people in Eritrea and neighboring regions of the Horn of Africa.
  • F. None of above.

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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8999e108190a07daa01452a5dab completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1fe068ac8190b0999e4f881d134a completed March 9, 2026, 1:18 a.m.
NEDg Description generation batch_69ae2092c3ac8190b2f1f3e9c980f40a completed March 9, 2026, 1:21 a.m.
NED2 Entity disambiguation (via description) batch_69ae21c757c88190a151e01ee0825d85 completed March 9, 2026, 1:26 a.m.
Created at: March 4, 2026, 7:37 p.m.