Triple

T5231793
Position Surface form Disambiguated ID Type / Status
Subject Province Sud E118128 entity
Predicate contains P35 FINISHED
Object Farino
Farino is a small rural commune in the South Province of New Caledonia, known for its lush forests and eco-tourism activities.
 E504453 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: Farino | Statement: [Province Sud, contains, Farino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Farino
Context triple: [Province Sud, contains, Farino]
  • A. Kasha
    Kasha is a feminine given name used in various cultures, often as a diminutive or variant of names like Katarzyna or Kasia.
  • B. Menua
    Menua was a prominent king of the ancient kingdom of Urartu, known for expanding its territory and developing extensive irrigation and fortification projects.
  • C. Dinkel
    Dinkel is a small river in the eastern Netherlands and western Germany, known for flowing through the Twente region and its relatively unspoiled natural landscapes.
  • D. Acciaroli
    Acciaroli is a coastal village in southern Italy’s Cilento region, known for its picturesque harbor, beaches, and unusually high number of long-lived residents.
  • E. Tarro
    Tarro is a suburban railway station in the Hunter Region of New South Wales, Australia, serving the local community on the Main Northern line.
  • 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: Farino
Triple: [Province Sud, contains, Farino]
Generated description
Farino is a small rural commune in the South Province of New Caledonia, known for its lush forests and eco-tourism activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Farino
Target entity description: Farino is a small rural commune in the South Province of New Caledonia, known for its lush forests and eco-tourism activities.
  • A. Kasha
    Kasha is a feminine given name used in various cultures, often as a diminutive or variant of names like Katarzyna or Kasia.
  • B. Menua
    Menua was a prominent king of the ancient kingdom of Urartu, known for expanding its territory and developing extensive irrigation and fortification projects.
  • C. Dinkel
    Dinkel is a small river in the eastern Netherlands and western Germany, known for flowing through the Twente region and its relatively unspoiled natural landscapes.
  • D. Acciaroli
    Acciaroli is a coastal village in southern Italy’s Cilento region, known for its picturesque harbor, beaches, and unusually high number of long-lived residents.
  • E. Tarro
    Tarro is a suburban railway station in the Hunter Region of New South Wales, Australia, serving the local community on the Main Northern line.
  • 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_69bd4466fb8c819083b806a79414d7e4 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b0223148190be88d737c25d60d7 completed March 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef810d6108190b2b2067cce12955b completed March 21, 2026, 7:57 p.m.
NEDg Description generation batch_69bef8acecf48190a1d3f56640bf7784 completed March 21, 2026, 7:59 p.m.
NED2 Entity disambiguation (via description) batch_69bef92017948190906d1be3551b54c2 completed March 21, 2026, 8:01 p.m.
Created at: March 20, 2026, 1:49 p.m.