Triple
T37388746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 广州国际金融城（规划） |
E928643
|
entity |
| Predicate | 规划目标 |
P69054
|
FINISHED |
| Object | 提升广州国际金融中心地位 |
—
|
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: 提升广州国际金融中心地位 | Statement: [广州国际金融城（规划）, 规划目标, 提升广州国际金融中心地位]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 规划目标 Context triple: [广州国际金融城（规划）, 规划目标, 提升广州国际金融中心地位]
-
A.
hasPlanningGoal
chosen
Indicates that an entity is associated with, or directed toward achieving, a specific planning objective or target state.
-
B.
goalStructure
Indicates the overarching objective or intended outcome that organizes and guides the structure of related actions, components, or relationships.
-
C.
organizationGoal
Indicates that an organization has a specific goal, objective, or intended outcome it aims to achieve.
-
D.
plannedTarget
Indicates that one entity has been designated or selected as the intended target or objective of another entity’s planned action or operation.
-
E.
strategicGoal
Indicates that one entity represents a long-term objective or desired outcome that another entity is intentionally aiming to achieve or align actions toward.
- 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.