Triple
T1173236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japonic languages |
E24960
|
entity |
| Predicate | writingSystem |
P454
|
FINISHED |
| Object | Kana |
E3828
|
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: Kana | Statement: [Japonic languages, writingSystem, Kana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kana Context triple: [Japonic languages, writingSystem, Kana]
-
A.
Kanji
Kanji are logographic characters of Chinese origin used in the Japanese writing system alongside hiragana and katakana.
-
B.
Hiragana
chosen
Hiragana is a Japanese phonetic syllabary used primarily for native words, grammatical elements, and beginners’ reading and writing.
-
C.
Kawi script
Kawi script is an ancient Brahmic-derived writing system historically used across Java and other parts of Southeast Asia to write Old Javanese and related languages.
-
D.
Noto
Noto is a historic town in southeastern Sicily renowned for its exquisite late Baroque architecture and status as a UNESCO World Heritage Site.
-
E.
Shūgiin
Shūgiin is the lower house of Japan’s National Diet, responsible for passing legislation, approving the budget, and selecting the prime minister.
- 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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bcecab688190b21a926874cd98d1 |
completed | March 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac668a135881909b885e2816ee8240 |
completed | March 7, 2026, 5:55 p.m. |
Created at: March 1, 2026, 7:45 p.m.