Triple
T15470399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Achumawi language |
E372144
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object | Achumawi |
E1159791
|
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: Achumawi | Statement: [Achumawi language, alternateName, Achumawi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Achumawi Context triple: [Achumawi language, alternateName, Achumawi]
-
A.
Achumawi
chosen
Achumawi is a Native American language of northern California traditionally spoken by the Achumawi (Pit River) people.
-
B.
Chukchucha
Chukchucha is a village-level settlement located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
-
C.
Awajún
Awajún are an Indigenous people of the Peruvian Amazon known for their distinct language, rich oral traditions, and long history of resistance to outside domination.
-
D.
Amausi
Amausi is a locality in Lucknow, India, best known for hosting the city’s main airport and associated transport and commercial facilities.
-
E.
Achacachi
Achacachi is a town in Bolivia known as a commercial and cultural center of the Aymara people near Lake Titicaca.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f6b49788190b270fdfe92646842 |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3657972481909219bc040f674c02 |
completed | May 9, 2026, 1:27 p.m. |
Created at: April 10, 2026, 3:33 a.m.