Triple
T2109815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mapuche people |
E42476
|
entity |
| Predicate | mainLanguage |
P1252
|
FINISHED |
| Object |
Mapudungun
Mapudungun is an indigenous language of South America spoken primarily by the Mapuche people in Chile and Argentina.
|
E234600
|
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: Mapudungun | Statement: [Mapuche people, mainLanguage, Mapudungun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mapudungun Context triple: [Mapuche people, mainLanguage, Mapudungun]
-
A.
Mwotlap
Mwotlap is an Oceanic Austronesian language spoken on Mota Lava and nearby islands in northern Vanuatu.
-
B.
Mabalako
Mabalako is a health zone in North Kivu Province in the eastern Democratic Republic of the Congo, known for being heavily affected by Ebola outbreaks.
-
C.
Mtiuleti
Mtiuleti is a mountainous historical region in northeastern Georgia known for its rugged landscapes and traditional highland villages.
-
D.
Marapu
Marapu is the indigenous ancestral belief system of the Sumbanese people, characterized by animism, ancestor worship, and elaborate ritual practices.
-
E.
Ngamo
Ngamo is a West Chadic language spoken primarily in northeastern Nigeria by the Ngamo people.
- 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: Mapudungun Triple: [Mapuche people, mainLanguage, Mapudungun]
Generated description
Mapudungun is an indigenous language of South America spoken primarily by the Mapuche people in Chile and Argentina.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mapudungun Target entity description: Mapudungun is an indigenous language of South America spoken primarily by the Mapuche people in Chile and Argentina.
-
A.
Mwotlap
Mwotlap is an Oceanic Austronesian language spoken on Mota Lava and nearby islands in northern Vanuatu.
-
B.
Mabalako
Mabalako is a health zone in North Kivu Province in the eastern Democratic Republic of the Congo, known for being heavily affected by Ebola outbreaks.
-
C.
Mtiuleti
Mtiuleti is a mountainous historical region in northeastern Georgia known for its rugged landscapes and traditional highland villages.
-
D.
Marapu
Marapu is the indigenous ancestral belief system of the Sumbanese people, characterized by animism, ancestor worship, and elaborate ritual practices.
-
E.
Ngamo
Ngamo is a West Chadic language spoken primarily in northeastern Nigeria by the Ngamo people.
- 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_69a8871040f08190aac2e2d0ab6b47ad |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbae1bacc8190beffc9d0470e9190 |
completed | March 7, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae306ff3a481909ce3c34edb3ab0e2 |
completed | March 9, 2026, 2:29 a.m. |
| NEDg | Description generation | batch_69ae3112c4648190952ad02ef8037b36 |
completed | March 9, 2026, 2:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae3199909881909ffca021098c98ea |
completed | March 9, 2026, 2:34 a.m. |
Created at: March 4, 2026, 7:43 p.m.