Triple
T6777193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yavitero language |
E155586
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Yabitero |
E618334
|
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: Yabitero | Statement: [Yavitero language, hasAlternativeName, Yabitero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yabitero Context triple: [Yavitero language, hasAlternativeName, Yabitero]
-
A.
Yavitero
chosen
Yavitero is an extinct Arawakan language once spoken by the Yavitero people in the Amazon region of Venezuela and Colombia.
-
B.
Yodo-dono
Yodo-dono was a prominent Japanese noblewoman and political figure of the late Sengoku period, best known as Toyotomi Hideyoshi’s consort and the mother of his heir, Toyotomi Hideyori.
-
C.
Kibushi
Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
-
D.
Hagoita-ichi
Hagoita-ichi is a traditional year-end fair in Tokyo known for its decorative wooden paddles sold as good-luck charms, especially around the Senso-ji Temple in Asakusa.
-
E.
Katsuragi
Katsuragi was a late-war Imperial Japanese Navy aircraft carrier that served in the Pacific Theater during World War II.
- 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_69c688162bf8819088b664b5c3b5be7a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d26725208190b64935cfd08b2aff |
completed | March 27, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a8263508190ad5cace74d7d7ac2 |
completed | March 28, 2026, 12:02 a.m. |
Created at: March 27, 2026, 2:13 p.m.