Triple
T13867043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayotte La Première |
E333351
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Kibushi |
E181163
|
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: Kibushi | Statement: [Mayotte La Première, language, Kibushi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kibushi Context triple: [Mayotte La Première, language, Kibushi]
-
A.
Kibushi
chosen
Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
-
B.
Kushi
Kushi is a popular 2001 Telugu romantic drama film starring Pawan Kalyan and Bhumika Chawla, noted for its youthful love story, music, and commercial success.
-
C.
Ushishiru
Ushishiru is the Japanese name for Ushishir, a volcanic island in Russia’s Kuril Islands chain known for its caldera and geothermal activity.
-
D.
Kashimayari
Kashimayari is a ski resort in Japan’s Hakuba Valley, known for its varied terrain and scenic alpine setting.
-
E.
Nishiizu
Nishiizu is a coastal town in Shizuoka Prefecture, Japan, known for its rugged seaside scenery, hot springs, and views of Suruga Bay.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c419d481909230e8879b6dab5c |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc31c38e481909a86cda6c913fb8e |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:14 p.m.