Triple

T19386036
Position Surface form Disambiguated ID Type / Status
Subject Province of Vibo Valentia E484935 entity
Predicate contains P35 FINISHED
Object Acquaro
Acquaro is a small town and comune in the Calabria region of southern Italy, known for its rural setting and traditional local culture.
 E1373032 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: Acquaro | Statement: [Province of Vibo Valentia, contains, Acquaro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Acquaro
Context triple: [Province of Vibo Valentia, contains, Acquaro]
  • A. Aqua Terra
    Aqua Terra is a line of Omega luxury wristwatches known for blending elegant design with robust, water-resistant performance suitable for both everyday wear and nautical environments.
  • B. Marini
    Marini is a French-American actor and former model best known for his roles in "Sex and the City: The Movie" and the TV series "Brothers & Sisters."
  • C. Oceanium
    Oceanium is a large marine-themed exhibit at Odense Zoo featuring oceanic animals and aquatic environments.
  • D. Aquata
    Aquata is one of King Triton’s mermaid daughters and a princess of Atlantica in Disney’s The Little Mermaid franchise.
  • E. Brinsea
    Brinsea is a small hamlet in North Somerset, England, situated within the civil parish of Congresbury.
  • 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: Acquaro
Triple: [Province of Vibo Valentia, contains, Acquaro]
Generated description
Acquaro is a small town and comune in the Calabria region of southern Italy, known for its rural setting and traditional local culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Acquaro
Target entity description: Acquaro is a small town and comune in the Calabria region of southern Italy, known for its rural setting and traditional local culture.
  • A. Aqua Terra
    Aqua Terra is a line of Omega luxury wristwatches known for blending elegant design with robust, water-resistant performance suitable for both everyday wear and nautical environments.
  • B. Marini
    Marini is a French-American actor and former model best known for his roles in "Sex and the City: The Movie" and the TV series "Brothers & Sisters."
  • C. Oceanium
    Oceanium is a large marine-themed exhibit at Odense Zoo featuring oceanic animals and aquatic environments.
  • D. Aquata
    Aquata is one of King Triton’s mermaid daughters and a princess of Atlantica in Disney’s The Little Mermaid franchise.
  • E. Brinsea
    Brinsea is a small hamlet in North Somerset, England, situated within the civil parish of Congresbury.
  • 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61b40d1148190b4fcd9ad56aa6910 completed April 20, 2026, 12:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a072b82d6008190b26d95f4356afe5c completed May 15, 2026, 2:19 p.m.
NEDg Description generation batch_6a072c5c67d48190a393eef73abb8aba completed May 15, 2026, 2:23 p.m.
NED2 Entity disambiguation (via description) batch_6a072ccebb388190b48c181017d95290 completed May 15, 2026, 2:25 p.m.
Created at: April 10, 2026, 1:35 p.m.