Triple

T2353775
Position Surface form Disambiguated ID Type / Status
Subject Jivaroan E47506 entity
Predicate hasProposedRelation P24663 FINISHED
Object Macro-Jibaroan
Macro-Jibaroan is a hypothesized large-scale language family proposal that groups the Jivaroan languages with other potentially related South American language families.
E257658 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: Macro-Jibaroan | Statement: [Jivaroan, hasProposedRelation, Macro-Jibaroan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Macro-Jibaroan
Context triple: [Jivaroan, hasProposedRelation, Macro-Jibaroan]
  • A. Macaxeira
    Macaxeira is a neighborhood in the city of Recife, Brazil.
  • B. Mamanguape
    Mamanguape is a municipality in the Brazilian state of Paraíba, known for its historical colonial architecture and location near the Mamanguape River on the state’s northern coast.
  • C. Ibanag
    Ibanag is an Austronesian language spoken primarily in the Cagayan Valley region of northern Luzon in the Philippines.
  • D. Yakan
    Yakan is an Austronesian language spoken primarily by the Yakan people of Basilan and nearby areas in the southern Philippines.
  • E. Maranao
    The Maranao are a predominantly Muslim ethnolinguistic group in the southern Philippines known for their rich artistic traditions, including okir woodcarving and the epic Darangen.
  • 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: Macro-Jibaroan
Triple: [Jivaroan, hasProposedRelation, Macro-Jibaroan]
Generated description
Macro-Jibaroan is a hypothesized large-scale language family proposal that groups the Jivaroan languages with other potentially related South American language families.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Macro-Jibaroan
Target entity description: Macro-Jibaroan is a hypothesized large-scale language family proposal that groups the Jivaroan languages with other potentially related South American language families.
  • A. Macaxeira
    Macaxeira is a neighborhood in the city of Recife, Brazil.
  • B. Mamanguape
    Mamanguape is a municipality in the Brazilian state of Paraíba, known for its historical colonial architecture and location near the Mamanguape River on the state’s northern coast.
  • C. Ibanag
    Ibanag is an Austronesian language spoken primarily in the Cagayan Valley region of northern Luzon in the Philippines.
  • D. Yakan
    Yakan is an Austronesian language spoken primarily by the Yakan people of Basilan and nearby areas in the southern Philippines.
  • E. Maranao
    The Maranao are a predominantly Muslim ethnolinguistic group in the southern Philippines known for their rich artistic traditions, including okir woodcarving and the epic Darangen.
  • 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abd0d813dc8190aa331cdca0b75eca completed March 7, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae9633ce3c81908581e7e0f8211ac1 completed March 9, 2026, 9:43 a.m.
NEDg Description generation batch_69ae971aa3bc8190b0b8b216106dca90 completed March 9, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_69ae9795cf048190bc7a01ef86c12138 completed March 9, 2026, 9:49 a.m.
Created at: March 4, 2026, 7:54 p.m.