Triple

T16417981
Position Surface form Disambiguated ID Type / Status
Subject Province of South Sardinia E398737 entity
Predicate containsAdministrativeTerritorialEntity P747 FINISHED
Object Mandas
Mandas is a small historic town and comune in the Province of South Sardinia, Italy, known for its traditional Sardinian culture and rural landscape.
E1211800 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: Mandas | Statement: [Province of South Sardinia, containsAdministrativeTerritorialEntity, Mandas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mandas
Context triple: [Province of South Sardinia, containsAdministrativeTerritorialEntity, Mandas]
  • A. Mandres
    Mandres is a small commune located within the canton of Breteuil in northern France.
  • B. Manda
    Manda is a lesser-known Dravidian language spoken by tribal communities in parts of eastern India, particularly in Odisha.
  • C. Mandegusu
    Mandegusu is an alternate name for Simbo, an island in the Western Province of the Solomon Islands in the South Pacific.
  • D. Mandeali
    Mandeali is an Indo-Aryan language spoken primarily in the Mandi district of Himachal Pradesh in northern India.
  • E. Mussidan
    Mussidan is a small commune in southwestern France’s Dordogne department, known for its location along the Isle River and its historical market-town character.
  • 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: Mandas
Triple: [Province of South Sardinia, containsAdministrativeTerritorialEntity, Mandas]
Generated description
Mandas is a small historic town and comune in the Province of South Sardinia, Italy, known for its traditional Sardinian culture and rural landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mandas
Target entity description: Mandas is a small historic town and comune in the Province of South Sardinia, Italy, known for its traditional Sardinian culture and rural landscape.
  • A. Mandres
    Mandres is a small commune located within the canton of Breteuil in northern France.
  • B. Manda
    Manda is a lesser-known Dravidian language spoken by tribal communities in parts of eastern India, particularly in Odisha.
  • C. Mandegusu
    Mandegusu is an alternate name for Simbo, an island in the Western Province of the Solomon Islands in the South Pacific.
  • D. Mandeali
    Mandeali is an Indo-Aryan language spoken primarily in the Mandi district of Himachal Pradesh in northern India.
  • E. Mussidan
    Mussidan is a small commune in southwestern France’s Dordogne department, known for its location along the Isle River and its historical market-town character.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328798a488190a5fad01c3c95584c completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c6ca1bc8190a6c4f675ec8e3a53 completed May 10, 2026, 8:06 a.m.
NEDg Description generation batch_6a003e3b113c819083e1abc512631e2b completed May 10, 2026, 8:13 a.m.
NED2 Entity disambiguation (via description) batch_6a003eb6aa748190b0c8866af405794a completed May 10, 2026, 8:15 a.m.
Created at: April 10, 2026, 5:09 a.m.