Triple
T6892903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yorta Yorta language |
E159091
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
Yota-Yota
Yota-Yota is an Australian Aboriginal language traditionally spoken by the Yorta Yorta people of north-central Victoria and southern New South Wales.
|
E627118
|
NE FINISHED |
How this triple was built (4 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: Yota-Yota | Statement: [Yorta Yorta language, alternativeName, Yota-Yota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yota-Yota Context triple: [Yorta Yorta language, alternativeName, Yota-Yota]
-
A.
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.
-
B.
Yoske
Yoske is a diminutive or affectionate nickname commonly used as a short form of the Hebrew given name Yosef.
-
C.
Yojo
Yojo is the small wooden idol and personal god of the harpooner Queequeg in Herman Melville’s novel "Moby-Dick."
-
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.
Okame
Okame was a historical figure known primarily as the child of the famed Japanese tea master Sen no Rikyū.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yota-Yota Triple: [Yorta Yorta language, alternativeName, Yota-Yota]
Generated description
Yota-Yota is an Australian Aboriginal language traditionally spoken by the Yorta Yorta people of north-central Victoria and southern New South Wales.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yota-Yota Target entity description: Yota-Yota is an Australian Aboriginal language traditionally spoken by the Yorta Yorta people of north-central Victoria and southern New South Wales.
-
A.
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.
-
B.
Yoske
Yoske is a diminutive or affectionate nickname commonly used as a short form of the Hebrew given name Yosef.
-
C.
Yojo
Yojo is the small wooden idol and personal god of the harpooner Queequeg in Herman Melville’s novel "Moby-Dick."
-
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.
Okame
Okame was a historical figure known primarily as the child of the famed Japanese tea master Sen no Rikyū.
- F. None of above. chosen
Provenance (5 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_69c6883568c8819081db6407e892cccc |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d930ab548190953291d63cbc721b |
completed | March 27, 2026, 7:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c748d625908190b3b1f7cfe6360016 |
completed | March 28, 2026, 3:19 a.m. |
| NEDg | Description generation | batch_69c749f7ab5c8190ab823fac27f7484d |
completed | March 28, 2026, 3:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c74a6f828c8190bf0cc56227b1a5b2 |
completed | March 28, 2026, 3:26 a.m. |
Created at: March 27, 2026, 2:24 p.m.