Triple

T6469767
Position Surface form Disambiguated ID Type / Status
Subject Itonama E142317 entity
Predicate hasAlternativeName P39 FINISHED
Object Saramo
Saramo is an alternative name for the Itonama language spoken by the indigenous Itonama people of Bolivia.
 E596293 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: Saramo | Statement: [Itonama, hasAlternativeName, Saramo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Saramo
Context triple: [Itonama, hasAlternativeName, Saramo]
  • A. Surami
    Surami is a historic town in central Georgia known for its medieval fortress and role as a transport and resort hub in the Shida Kartli region.
  • B. Sambali
    Sambali is an Austronesian language spoken by the Sambal people of the Zambales region in the Philippines.
  • C. Sarju
    Sarju is an alternate name for the Sarayu, a river historically associated with the ancient Indian city of Ayodhya and revered in Hindu tradition.
  • D. Salamansa
    Salamansa is a coastal village on the island of São Vicente in Cape Verde, known for its fishing community and sandy beach.
  • E. Masmo
    Masmo is a residential district in the southern suburbs of Stockholm, Sweden, known for its metro station on the red line and proximity to green areas and Lake Mälaren.
  • 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: Saramo
Triple: [Itonama, hasAlternativeName, Saramo]
Generated description
Saramo is an alternative name for the Itonama language spoken by the indigenous Itonama people of Bolivia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Saramo
Target entity description: Saramo is an alternative name for the Itonama language spoken by the indigenous Itonama people of Bolivia.
  • A. Surami
    Surami is a historic town in central Georgia known for its medieval fortress and role as a transport and resort hub in the Shida Kartli region.
  • B. Sambali
    Sambali is an Austronesian language spoken by the Sambal people of the Zambales region in the Philippines.
  • C. Sarju
    Sarju is an alternate name for the Sarayu, a river historically associated with the ancient Indian city of Ayodhya and revered in Hindu tradition.
  • D. Salamansa
    Salamansa is a coastal village on the island of São Vicente in Cape Verde, known for its fishing community and sandy beach.
  • E. Masmo
    Masmo is a residential district in the southern suburbs of Stockholm, Sweden, known for its metro station on the red line and proximity to green areas and Lake Mälaren.
  • 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_69c008d3bf4c8190bcf798c5ba9d6fb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06a16272c81909313455002cd884d completed March 22, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6539c93c481909bed35b68ce420d8 completed March 27, 2026, 9:53 a.m.
NEDg Description generation batch_69c6559d06c8819082cad37d62fcb3a3 completed March 27, 2026, 10:02 a.m.
NED2 Entity disambiguation (via description) batch_69c6564e01748190a3a12abcc0dfd30f completed March 27, 2026, 10:05 a.m.
Created at: March 22, 2026, 4:50 p.m.