Triple

T14625748
Position Surface form Disambiguated ID Type / Status
Subject Arga River E343339 entity
Predicate flowsThrough P225 FINISHED
Object Caparroso
Caparroso is a municipality in northern Spain’s Navarre region, known for its location along the Arga River and its agricultural surroundings.
E1109910 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: Caparroso | Statement: [Arga River, flowsThrough, Caparroso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caparroso
Context triple: [Arga River, flowsThrough, Caparroso]
  • A. Carosino
    Carosino is a small town and comune in the Apulia region of southern Italy, known for its wine production and proximity to the city of Taranto.
  • B. Capocolle
    Capocolle is a small village (frazione) in the municipality of Bertinoro in the Emilia-Romagna region of northern Italy.
  • C. Caterinella
    Caterinella is a feminine given name, likely used as an affectionate or diminutive variant of the name Caterina.
  • D. Cepagatti
    Cepagatti is a municipality in the Abruzzo region of central Italy, situated inland from the Adriatic coast near the cities of Pescara and Chieti.
  • E. Panza
    Panza is the surname of Sancho Panza, the loyal squire and comic foil to Don Quixote in Miguel de Cervantes' classic novel.
  • 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: Caparroso
Triple: [Arga River, flowsThrough, Caparroso]
Generated description
Caparroso is a municipality in northern Spain’s Navarre region, known for its location along the Arga River and its agricultural surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Caparroso
Target entity description: Caparroso is a municipality in northern Spain’s Navarre region, known for its location along the Arga River and its agricultural surroundings.
  • A. Carosino
    Carosino is a small town and comune in the Apulia region of southern Italy, known for its wine production and proximity to the city of Taranto.
  • B. Capocolle
    Capocolle is a small village (frazione) in the municipality of Bertinoro in the Emilia-Romagna region of northern Italy.
  • C. Caterinella
    Caterinella is a feminine given name, likely used as an affectionate or diminutive variant of the name Caterina.
  • D. Cepagatti
    Cepagatti is a municipality in the Abruzzo region of central Italy, situated inland from the Adriatic coast near the cities of Pescara and Chieti.
  • E. Panza
    Panza is the surname of Sancho Panza, the loyal squire and comic foil to Don Quixote in Miguel de Cervantes' classic novel.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb46a4a9081908472b0a542028a7f completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda92a6b9c8190bdb220444cfbe34a completed May 8, 2026, 9:13 a.m.
NEDg Description generation batch_69fdb1ad32a4819088e5831f3d74ea4e completed May 8, 2026, 9:49 a.m.
NED2 Entity disambiguation (via description) batch_69fdb316479c81909343196bb89e5e57 completed May 8, 2026, 9:55 a.m.
Created at: April 10, 2026, 1:26 a.m.