Triple
T196391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Asia |
E3827
|
entity |
| Predicate | hasWritingSystem |
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: [East Asia, hasWritingSystem, Kana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kana Context triple: [East Asia, hasWritingSystem, 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.
Hirakata
Hirakata is a city in Japan located between Osaka and Kyoto, known for its residential suburbs, historical sites, and the popular Hirakata Park amusement park.
-
E.
Kantei
Kantei is the official office and residence complex of Japan’s Prime Minister, serving as the central hub of the country’s executive government.
- 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a25983b49c819080f7e161904c53da |
completed | Feb. 28, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3161cdc4c8190bc67683a1a5d39d9 |
completed | Feb. 28, 2026, 4:21 p.m. |
Created at: Feb. 28, 2026, 2:41 a.m.