Triple
T13910304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xinbei District |
E334471
|
entity |
| Predicate | hasIndustrialZoneType |
P46965
|
FINISHED |
| Object | high-tech industrial zone |
—
|
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: high-tech industrial zone | Statement: [Xinbei District, hasIndustrialZoneType, high-tech industrial zone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIndustrialZoneType Context triple: [Xinbei District, hasIndustrialZoneType, high-tech industrial zone]
-
A.
hasIndustrialAreaType
chosen
Indicates that an entity’s industrial area is classified as a specific type or category of industrial zone.
-
B.
hasIndustrialZoning
Indicates that a given area or property is designated for industrial use under zoning regulations.
-
C.
isIndustrialAreaOf
Indicates that a location functions primarily as an industrial zone or district associated with a specified area or jurisdiction.
-
D.
isIndustrialRegion
Indicates that a given area functions primarily as a center of industrial activity, characterized by significant manufacturing, production, or related industrial operations.
-
E.
hasIndustrialPark
Indicates that a location or entity possesses or contains an industrial park within its area or jurisdiction.
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2723461881908376b5509ee0d530 |
completed | April 14, 2026, 11:38 a.m. |
| PD | Predicate disambiguation | batch_69de059e4ba881908554f72e889719fa |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:16 p.m.