Triple
T28633165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huangpu District |
E724699
|
entity |
| Predicate | isKeyIndustrialBaseOf |
P15910
|
FINISHED |
| Object | Guangzhou |
—
|
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: Guangzhou | Statement: [Huangpu District, isKeyIndustrialBaseOf, Guangzhou]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isKeyIndustrialBaseOf Context triple: [Huangpu District, isKeyIndustrialBaseOf, Guangzhou]
-
A.
isIndustrialCenter
Indicates that a place functions as a major hub of industrial activity, production, or manufacturing within a region.
-
B.
isIndustrialRegion
chosen
Indicates that a given area functions primarily as a center of industrial activity, characterized by significant manufacturing, production, or related industrial operations.
-
C.
industrialComplex
Indicates a relationship where a facility or site functions as a large-scale, integrated center for industrial production, processing, or related operations.
-
D.
hasIndustrialSector
Indicates that an entity is associated with, operates in, or belongs to a particular industrial sector or branch of economic activity.
-
E.
isUrbanAndIndustrialHub
Indicates that a place functions as a major center of urban activity and industrial 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_69f01d8328c48190bc0e5f9b9b848582 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f6659b62fc8190b21555d0ba54db2d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 4:38 a.m.