Triple
T6330793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otomi |
E141974
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Hñähñu |
E537452
|
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: Hñähñu | Statement: [Otomi, hasAlternativeName, Hñähñu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hñähñu Context triple: [Otomi, hasAlternativeName, Hñähñu]
-
A.
Hñähñu
chosen
Hñähñu is the endonym used by the Otomi people to refer to themselves and their language in central Mexico.
-
B.
Kahola
Kahola is an ancient Vedic sage mentioned in Hindu scriptures, notably as a participant in philosophical dialogues in the Upanishads.
-
C.
Miagao
Miagao is a coastal municipality in the Philippine province of Iloilo best known for its UNESCO-listed Miagao Church, a prime example of Baroque architecture.
-
D.
Anaga
Anaga is a rugged, mountainous district in northeastern Tenerife known for its ancient laurel forests, dramatic coastal landscapes, and traditional rural villages.
-
E.
Ahangama
Ahangama is a coastal town in southern Sri Lanka known for its beaches, surfing spots, and traditional stilt fishermen.
- 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_69c008d201748190917e69c41ba3f978 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06514cbe8819096dbeb17ccb3e3d5 |
completed | March 22, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6041aac948190ad7dd4d5683903ed |
completed | March 27, 2026, 4:14 a.m. |
Created at: March 22, 2026, 4:30 p.m.