Triple

T13049571
Position Surface form Disambiguated ID Type / Status
Subject Province of Macerata E327414 entity
Predicate hasMajorRiver P165 FINISHED
Object Fiastra
Fiastra is a river in the Marche region of central Italy, known for flowing through the Province of Macerata and feeding the scenic Fiastra Lake.
E1020894 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: Fiastra | Statement: [Province of Macerata, hasMajorRiver, Fiastra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fiastra
Context triple: [Province of Macerata, hasMajorRiver, Fiastra]
  • A. Orzola
    Orzola is a small fishing village and port at the northern tip of Lanzarote in the Canary Islands, known as the main departure point for ferries to the nearby island of La Graciosa.
  • B. Flerzheim
    Flerzheim is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • C. Guiera
    Guiera is a small genus of flowering shrubs in the Combretaceae family, best known for species used in traditional medicine in parts of Africa.
  • D. Agria
    Agria is a coastal town in the Magnesia regional unit of Thessaly, Greece, near the city of Volos.
  • E. Mora
    Mora is a canton in Costa Rica’s San José Province known for its rural landscapes, agricultural activities, and small-town communities.
  • 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: Fiastra
Triple: [Province of Macerata, hasMajorRiver, Fiastra]
Generated description
Fiastra is a river in the Marche region of central Italy, known for flowing through the Province of Macerata and feeding the scenic Fiastra Lake.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fiastra
Target entity description: Fiastra is a river in the Marche region of central Italy, known for flowing through the Province of Macerata and feeding the scenic Fiastra Lake.
  • A. Orzola
    Orzola is a small fishing village and port at the northern tip of Lanzarote in the Canary Islands, known as the main departure point for ferries to the nearby island of La Graciosa.
  • B. Flerzheim
    Flerzheim is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • C. Guiera
    Guiera is a small genus of flowering shrubs in the Combretaceae family, best known for species used in traditional medicine in parts of Africa.
  • D. Agria
    Agria is a coastal town in the Magnesia regional unit of Thessaly, Greece, near the city of Volos.
  • E. Mora
    Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980b8811c81908577f092e2736610 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5fdd04c8190a86dbba1b81c8e6b completed May 3, 2026, 4:58 a.m.
NEDg Description generation batch_69f6da5695508190a96ca16a4e5c01ee completed May 3, 2026, 5:17 a.m.
NED2 Entity disambiguation (via description) batch_69f6daeae96081908f6d9cda3ff7f961 completed May 3, 2026, 5:19 a.m.
Created at: April 9, 2026, 8:57 p.m.