Triple
T37388764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 广州国际金融城（规划） |
E928643
|
entity |
| Predicate | 城市战略意义 |
P169440
|
FINISHED |
| Object | 支撑广州建设区域金融中心 |
—
|
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: 支撑广州建设区域金融中心 | Statement: [广州国际金融城（规划）, 城市战略意义, 支撑广州建设区域金融中心]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 城市战略意义 Context triple: [广州国际金融城（规划）, 城市战略意义, 支撑广州建设区域金融中心]
-
A.
相关城市群
Indicates a relationship where an entity is associated with, belongs to, or is relevant to a particular urban agglomeration or city cluster.
-
B.
相关城市地标
Indicates a relationship where a city landmark is associated with, connected to, or relevant to a given entity or context.
-
C.
地域的役割
chosen
Indicates that something has a specific function, responsibility, or role within a particular region or locality.
-
D.
流域都市
Indicates a relationship where a city is situated within and closely tied—geographically, environmentally, or socioeconomically—to a particular river basin.
-
E.
都市的性格
Indicates the characteristic qualities or distinctive personality that define a city’s overall atmosphere or identity.
- 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_69f76ebb10c481909b54b9dba263e29f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:16 p.m.