Triple
T5639134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nahuel Huapi Lake |
E124220
|
entity |
| Predicate | languageOfName |
P15
|
FINISHED |
| Object | Mapudungun |
E234600
|
NE FINISHED |
How this triple was built (2 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: [Nahuel Huapi Lake, languageOfName, Mapudungun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mapudungun Context triple: [Nahuel Huapi Lake, languageOfName, Mapudungun]
-
A.
Mapudungun
chosen
Mapudungun is an indigenous language of South America spoken primarily by the Mapuche people in Chile and Argentina.
-
B.
Mazabuka
Mazabuka is a town in southern Zambia known for its sugar industry and agricultural production.
-
C.
Mwotlap
Mwotlap is an Oceanic Austronesian language spoken on Mota Lava and nearby islands in northern Vanuatu.
-
D.
Umtata
Umtata is the former name of Mthatha, a town in South Africa’s Eastern Cape that serves as a regional economic and administrative center.
-
E.
Mpondo
The Mpondo are a Southern African ethnic group closely related to the Xhosa, known for their distinct language variety, cultural traditions, and historical kingdom in what is now South Africa’s Eastern Cape.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c00824643c81909ffdb888a2d35189 |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c02283bb248190b29ac6255c78c5ec |
completed | March 22, 2026, 5:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d7456408190962c476f2848927e |
completed | March 22, 2026, 8:13 p.m. |
Created at: March 22, 2026, 3:41 p.m.