Triple
T30150969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 黄浦江 |
E766392
|
entity |
| Predicate | 两岸著名区域 |
P168485
|
FINISHED |
| Object | 外滩 |
—
|
NE NERFINISHED |
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: 外滩 | Statement: [黄浦江, 两岸著名区域, 外滩]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 两岸著名区域 Context triple: [黄浦江, 两岸著名区域, 外滩]
-
A.
oppositeCityAcrossStrait
Indicates that one city is located directly across a strait from another city, facing it on the opposite shore.
-
B.
isPartOfCrossStraitRelations
Indicates that something belongs to, affects, or is involved in the political, economic, social, or cultural interactions and dynamics between the two sides of the Taiwan Strait.
-
C.
行政区
Indicates a relationship where one entity is an administrative division or jurisdictional area associated with, governed by, or belonging to another entity.
-
D.
hasAreaRankInTaiwan
Indicates the relative ranking of an entity by its area size compared to other entities within Taiwan.
-
E.
国
Indicates that the subject entity operates within, belongs to, or is associated with the specified country.
- F. None of above. chosen
Provenance (4 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_69f22479cd088190ab4c6f3fce39d1c5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67ed4297c81909062f19b7795f181 |
completed | May 2, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69f673c7a4588190837854f3ef61e6bf |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f6749f205c81909d1aacf462912eee |
completed | May 2, 2026, 10:03 p.m. |
Created at: April 29, 2026, 7:20 p.m.