Triple

T5165540
Position Surface form Disambiguated ID Type / Status
Subject Northern Peru E116541 entity
Predicate hasIndigenousLanguages P5562 FINISHED
Object Wampis
Wampis is an indigenous language of the Jivaroan family spoken by the Wampis people in the Amazonian region of northern Peru.
E502324 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: Wampis | Statement: [Northern Peru, hasIndigenousLanguages, Wampis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wampis
Context triple: [Northern Peru, hasIndigenousLanguages, Wampis]
  • A. Yaguachi
    Yaguachi is a town and canton in coastal Ecuador known for its agricultural economy and location within Guayas Province.
  • B. Ayaviri
    Ayaviri is a town in southern Peru that serves as a regional religious and administrative center, notably as the seat of a Catholic ecclesiastical jurisdiction.
  • C. Papagos
    Papagos is a Greek surname most notably associated with Alexandros Papagos, a prominent Greek general and post–World War II prime minister.
  • D. Pichasca
    Pichasca is a small settlement in Chile known for its proximity to the Hurtado River and the surrounding Andean landscapes.
  • E. Fiambalá
    Fiambalá is a small town in northwestern Argentina known for its high-altitude vineyards, desert landscapes, and nearby Andean mountain passes.
  • 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: Wampis
Triple: [Northern Peru, hasIndigenousLanguages, Wampis]
Generated description
Wampis is an indigenous language of the Jivaroan family spoken by the Wampis people in the Amazonian region of northern Peru.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wampis
Target entity description: Wampis is an indigenous language of the Jivaroan family spoken by the Wampis people in the Amazonian region of northern Peru.
  • A. Yaguachi
    Yaguachi is a town and canton in coastal Ecuador known for its agricultural economy and location within Guayas Province.
  • B. Ayaviri
    Ayaviri is a town in southern Peru that serves as a regional religious and administrative center, notably as the seat of a Catholic ecclesiastical jurisdiction.
  • C. Papagos
    Papagos is a Greek surname most notably associated with Alexandros Papagos, a prominent Greek general and post–World War II prime minister.
  • D. Pichasca
    Pichasca is a small settlement in Chile known for its proximity to the Hurtado River and the surrounding Andean landscapes.
  • E. Fiambalá
    Fiambalá is a small town in northwestern Argentina known for its high-altitude vineyards, desert landscapes, and nearby Andean mountain passes.
  • 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_69bd445edb3881909b93b34d260717fc completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd792af4648190934cf2db523f6921 completed March 20, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee07529d0819093fd4d127ac43e30 completed March 21, 2026, 6:16 p.m.
NEDg Description generation batch_69bee4f540288190be335833e999dcda completed March 21, 2026, 6:35 p.m.
NED2 Entity disambiguation (via description) batch_69bee5619d5881908f52adb38d34686e completed March 21, 2026, 6:37 p.m.
Created at: March 20, 2026, 1:44 p.m.