Triple
T9052028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unicode 3.0 |
E216905
|
entity |
| Predicate | addsBlocks |
P62553
|
FINISHED |
| Object |
Yi Radicals
Yi Radicals is a Unicode block that encodes the set of radical components used for indexing and organizing Yi script characters.
|
E774610
|
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: Yi Radicals | Statement: [Unicode 3.0, addsBlocks, Yi Radicals]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yi Radicals Context triple: [Unicode 3.0, addsBlocks, Yi Radicals]
-
A.
CJK Radicals Supplement
CJK Radicals Supplement is a Unicode block that contains additional Chinese, Japanese, and Korean radical characters used primarily for indexing and dictionary purposes.
-
B.
Hangul Jamo
Hangul Jamo is a Unicode block that encodes the individual consonant and vowel letters used to write the Korean Hangul script.
-
C.
Zhuyin
Zhuyin is a phonetic writing system for transcribing the sounds of Mandarin Chinese, primarily used in Taiwan for teaching pronunciation and literacy.
-
D.
Hanja
Hanja is the set of traditional Chinese characters historically used to write Korean, especially for proper names, academic terms, and classical texts.
-
E.
Yi script
Yi script is a traditional logographic and syllabic writing system used to represent the Yi languages of southwestern China.
- 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: Yi Radicals Triple: [Unicode 3.0, addsBlocks, Yi Radicals]
Generated description
Yi Radicals is a Unicode block that encodes the set of radical components used for indexing and organizing Yi script characters.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yi Radicals Target entity description: Yi Radicals is a Unicode block that encodes the set of radical components used for indexing and organizing Yi script characters.
-
A.
CJK Radicals Supplement
CJK Radicals Supplement is a Unicode block that contains additional Chinese, Japanese, and Korean radical characters used primarily for indexing and dictionary purposes.
-
B.
Hangul Jamo
Hangul Jamo is a Unicode block that encodes the individual consonant and vowel letters used to write the Korean Hangul script.
-
C.
Zhuyin
Zhuyin is a phonetic writing system for transcribing the sounds of Mandarin Chinese, primarily used in Taiwan for teaching pronunciation and literacy.
-
D.
Hanja
Hanja is the set of traditional Chinese characters historically used to write Korean, especially for proper names, academic terms, and classical texts.
-
E.
Yi script
Yi script is a traditional logographic and syllabic writing system used to represent the Yi languages of southwestern China.
- 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_69ca83d362e88190ae44b4e4dc194209 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7a700de48190aa9f61d850e01cbd |
completed | April 1, 2026, 1:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfebd1450c819092dccae2c48b100d |
completed | April 3, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_69cfedc8c13081909980f89815ee695d |
completed | April 3, 2026, 4:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfee92d74881909b9093c3948e926f |
completed | April 3, 2026, 4:45 p.m. |
Created at: March 30, 2026, 7:10 p.m.