Triple
T37388749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 广州国际金融城（规划） |
E928643
|
entity |
| Predicate | 产业定位 |
P24922
|
FINISHED |
| Object | 金融业主导 |
—
|
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: 金融业主导 | Statement: [广州国际金融城（规划）, 产业定位, 金融业主导]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 产业定位 Context triple: [广州国际金融城（规划）, 产业定位, 金融业主导]
-
A.
工业区位优势
Indicates the advantageous locational conditions that make a place particularly suitable or competitive for industrial development and operations.
-
B.
传统产业
Indicates an association with traditional industries, typically involving established, long-standing modes of production, technology, and business models.
-
C.
industryContext
chosen
Indicates the industry or sector within which an entity, activity, or relationship is situated or most relevant.
-
D.
industryStatus
Indicates the current operational or regulatory condition of an entity within its industry (e.g., active, inactive, regulated, or restricted status).
-
E.
industryCenter
Indicates that a location functions as a primary hub or focal point for industrial activity or production.
- 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.