Triple
T18991827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atsugewi language |
E464700
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Atsugewi |
—
|
NE NERFINISHED |
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: Atsugewi | Statement: [Atsugewi language, hasAlternativeName, Atsugewi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atsugewi Context triple: [Atsugewi language, hasAlternativeName, Atsugewi]
-
A.
Atsugewi
chosen
Atsugewi is a nearly extinct Native American language of the Palaihnihan family traditionally spoken in northeastern California.
-
B.
Hiniraya
Hiniraya is an alternate name for Kinaray-a, an Austronesian language spoken primarily in the Western Visayas region of the Philippines.
-
C.
Atsuma
Atsuma is a small coastal town in Hokkaido, Japan, known for its rural landscape and proximity to the Pacific Ocean.
-
D.
Yahagi
Yahagi was a Japanese World War II light cruiser of the Imperial Japanese Navy, best known for serving as the flagship escort of the battleship Yamato during its final mission.
-
E.
Ōtoku
Ōtoku was a Japanese era name (nengō) of the late 11th century, used during the reign of Emperor Shirakawa.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d67dee4c8190ac2017ff748ea6aa |
completed | April 20, 2026, 7:32 a.m. |
Created at: April 10, 2026, 12:01 p.m.