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.