Triple
T13195622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Machiguenga |
E314102
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
Machigenga
Machigenga are an Indigenous people of the Peruvian Amazon, known for their traditional forest-based lifestyle, rich oral traditions, and distinct Arawakan language.
|
E1026244
|
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: Machigenga | Statement: [Machiguenga, alternativeName, Machigenga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Machigenga Context triple: [Machiguenga, alternativeName, Machigenga]
-
A.
Itumbiara
Itumbiara is a municipality in the Brazilian state of Goiás, known for its strategic location on the Paranaíba River and its role as a regional economic and transportation hub.
-
B.
Mandeali
Mandeali is an Indo-Aryan language spoken primarily in the Mandi district of Himachal Pradesh in northern India.
-
C.
Kamba
Kamba is a Bantu language spoken primarily by the Akamba people of Kenya, known for its rich oral traditions and regional cultural significance.
-
D.
Kambaata
Kambaata is a Cushitic language spoken primarily by the Kambaata people in southern Ethiopia.
-
E.
Tchambri
Tchambri is an indigenous people of Papua New Guinea known for their distinctive social organization and for being the focus of anthropological studies by Margaret Mead.
- 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: Machigenga Triple: [Machiguenga, alternativeName, Machigenga]
Generated description
Machigenga are an Indigenous people of the Peruvian Amazon, known for their traditional forest-based lifestyle, rich oral traditions, and distinct Arawakan language.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Machigenga Target entity description: Machigenga are an Indigenous people of the Peruvian Amazon, known for their traditional forest-based lifestyle, rich oral traditions, and distinct Arawakan language.
-
A.
Itumbiara
Itumbiara is a municipality in the Brazilian state of Goiás, known for its strategic location on the Paranaíba River and its role as a regional economic and transportation hub.
-
B.
Mandeali
Mandeali is an Indo-Aryan language spoken primarily in the Mandi district of Himachal Pradesh in northern India.
-
C.
Kamba
Kamba is a Bantu language spoken primarily by the Akamba people of Kenya, known for its rich oral traditions and regional cultural significance.
-
D.
Kambaata
Kambaata is a Cushitic language spoken primarily by the Kambaata people in southern Ethiopia.
-
E.
Tchambri
Tchambri is an indigenous people of Papua New Guinea known for their distinctive social organization and for being the focus of anthropological studies by Margaret Mead.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c626058819086f604b11af2d4eb |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f605a48c81909373fcd9dd896b3d |
completed | May 3, 2026, 7:15 a.m. |
| NEDg | Description generation | batch_69f6f6e10f2481909b405169dd7e5cf9 |
completed | May 3, 2026, 7:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f73b301881909d792dfebd2e468f |
completed | May 3, 2026, 7:20 a.m. |
Created at: April 9, 2026, 9:16 p.m.