Triple
T10035453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 沙面岛 |
E204952
|
entity |
| Predicate | 对外形象 |
P13872
|
FINISHED |
| Object | 广州“西关风情”与“岭南与西方交汇”的象征 |
—
|
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: 广州“西关风情”与“岭南与西方交汇”的象征 | Statement: [沙面岛, 对外形象, 广州“西关风情”与“岭南与西方交汇”的象征]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 对外形象 Context triple: [沙面岛, 对外形象, 广州“西关风情”与“岭南与西方交汇”的象征]
-
A.
publicImage
chosen
Indicates how an entity is perceived or represented by the general public or broader audience.
-
B.
diplomaticPost
Indicates that an entity holds or is assigned to an official diplomatic position or mission representing one state or organization to another.
-
C.
internationalReputation
Indicates the recognized standing, esteem, or status an entity holds within the global or international community.
-
D.
socialMediaAppearance
Indicates that an entity is featured, mentioned, or otherwise present in a piece of content on a social media platform.
-
E.
visualIdentity
Indicates the relationship in which one entity defines, shapes, or represents the visual appearance and branding style of another entity.
- 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_69ca834d77188190ad645e33e8ca3200 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdce4a515c8190baec86d924623b12 |
completed | April 2, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69cd4b8638508190b22acc65500ec7d6 |
completed | April 1, 2026, 4:44 p.m. |
Created at: March 30, 2026, 8:55 p.m.