Triple
T19599401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yhyakh festival |
E470427
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Ысыах |
—
|
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: Ысыах | Statement: [Yhyakh festival, alsoKnownAs, Ысыах]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ысыах Context triple: [Yhyakh festival, alsoKnownAs, Ысыах]
-
A.
Ysyakh
chosen
Ysyakh is a traditional Yakut summer solstice festival in Siberia that celebrates the sun, fertility, and renewal with rituals, music, dance, and communal feasting.
-
B.
Ishimbay
Ishimbay is a town in the Republic of Bashkortostan, Russia, known for its oil industry and location in the southern Ural region.
-
C.
Ishkashimi
Ishkashimi is a lesser-known Eastern Iranian language spoken by small communities in parts of Afghanistan and Tajikistan.
-
D.
Kashira
Kashira is a historic town in Russia, located south of Moscow on the Oka River and known as a regional industrial and transport center.
-
E.
Baikasai
Baikasai is a traditional plum blossom festival held at Kyoto’s Kitano Tenmangū Shrine, featuring seasonal plum viewing and cultural performances.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6407d46188190b9818665b2a698a5 |
completed | April 20, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:43 p.m.