Triple
T5680248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qi |
E125181
|
entity |
| Predicate | WadeGilesRomanization |
P51399
|
FINISHED |
| Object | ch’i |
—
|
LITERAL 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: ch’i | Statement: [Qi, WadeGilesRomanization, ch’i]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WadeGilesRomanization Context triple: [Qi, WadeGilesRomanization, ch’i]
-
A.
WadeGilesForm
chosen
Indicates that one entity is the Wade–Giles romanized form corresponding to another entity’s written or spoken Chinese form.
-
B.
hasRomanizationOf
Indicates that one entity is a romanized representation (written in the Latin alphabet) of the other entity’s original script form.
-
C.
translationOfJapaneseName
Indicates that one entity is a translation of a Japanese name given by the other entity.
-
D.
ChinesePinyin
Indicates that one entity is the Chinese pinyin (romanized phonetic transcription) representation of another entity.
-
E.
ChineseNameTraditional
Indicates that an entity’s name is given in traditional Chinese characters.
- F. None of above.
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_69c0082a884c8190a79001bae658941f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c025303860819093e51f176babed71 |
completed | March 22, 2026, 5:21 p.m. |
| PD | Predicate disambiguation | batch_69c021bc3894819084f37d14ba4b2644 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:44 p.m.