Triple
T12567497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Connaught Road Central |
E295508
|
entity |
| Predicate | ChineseNameLanguage |
P4878
|
FINISHED |
| Object | Chinese |
—
|
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: Chinese | Statement: [Connaught Road Central, ChineseNameLanguage, Chinese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ChineseNameLanguage Context triple: [Connaught Road Central, ChineseNameLanguage, Chinese]
-
A.
ChineseNameTraditional
Indicates that an entity’s name is given in traditional Chinese characters.
-
B.
ChineseNameSimplified
Indicates that an entity’s name is given in simplified Chinese characters.
-
C.
traditionalLanguageName
Indicates the name traditionally used in a particular language to refer to the subject entity.
-
D.
ChinesePinyin
Indicates that one entity is the Chinese pinyin (romanized phonetic transcription) representation of another entity.
-
E.
nameInChinese
chosen
Indicates that an entity has a specific written name or label expressed in the Chinese language.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9550d84908190aea0f50055f6d92e |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95414692881909c52a1de7d224b44 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 11:49 p.m.