Triple

T20299777
Position Surface form Disambiguated ID Type / Status
Subject Ese Ejja E505446 entity
Predicate hasAlternativeName P39 FINISHED
Object Chama
Chama is an alternative name for the Ese Ejja, an Indigenous people of the Amazonian region of Bolivia and Peru.
E1421637 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: Chama | Statement: [Ese Ejja, hasAlternativeName, Chama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chama
Context triple: [Ese Ejja, hasAlternativeName, Chama]
  • A. Chame
    Chame is a village in Nepal's Manang District that serves as a key stopover and administrative center along the popular Annapurna Circuit trekking route.
  • B. Chivi
    Chivi is a rural district and settlement in southern Zimbabwe known for its communal farming communities and semi-arid landscape within Masvingo Province.
  • C. Machar
    Machar is a small rural township in Ontario, Canada, known for its forests, lakes, and low-density residential and agricultural character.
  • D. Chala
    Chala is an alternative name for the individual known as Ron.
  • E. Chambeali
    Chambeali is an Indo-Aryan language spoken primarily in the Chamba region of Himachal Pradesh in northern India.
  • 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: Chama
Triple: [Ese Ejja, hasAlternativeName, Chama]
Generated description
Chama is an alternative name for the Ese Ejja, an Indigenous people of the Amazonian region of Bolivia and Peru.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chama
Target entity description: Chama is an alternative name for the Ese Ejja, an Indigenous people of the Amazonian region of Bolivia and Peru.
  • A. Chame
    Chame is a village in Nepal's Manang District that serves as a key stopover and administrative center along the popular Annapurna Circuit trekking route.
  • B. Chivi
    Chivi is a rural district and settlement in southern Zimbabwe known for its communal farming communities and semi-arid landscape within Masvingo Province.
  • C. Machar
    Machar is a small rural township in Ontario, Canada, known for its forests, lakes, and low-density residential and agricultural character.
  • D. Chala
    Chala is an alternative name for the individual known as Ron.
  • E. Chambeali
    Chambeali is an Indo-Aryan language spoken primarily in the Chamba region of Himachal Pradesh in northern India.
  • 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_69e0b4b8ab648190906e18538c250148 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6770b9484819090ffcb339f2a435a completed April 20, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a085a3681888190ba2544466afeedd7 completed May 16, 2026, 11:51 a.m.
NEDg Description generation batch_6a085a9b48b48190853f3599fa65355e completed May 16, 2026, 11:52 a.m.
NED2 Entity disambiguation (via description) batch_6a085b01c0548190b11fee6477d61877 completed May 16, 2026, 11:54 a.m.
Created at: April 16, 2026, 11:16 a.m.