Triple
T8951625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yangxin County |
E213362
|
entity |
| Predicate | isIndustrialArea |
P15910
|
FINISHED |
| Object | partly |
—
|
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: partly | Statement: [Yangxin County, isIndustrialArea, partly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isIndustrialArea Context triple: [Yangxin County, isIndustrialArea, partly]
-
A.
isIndustrialAreaOf
Indicates that a location functions primarily as an industrial zone or district associated with a specified area or jurisdiction.
-
B.
hasIndustrialAreaType
Indicates that an entity’s industrial area is classified as a specific type or category of industrial zone.
-
C.
isIndustrialRegion
chosen
Indicates that a given area functions primarily as a center of industrial activity, characterized by significant manufacturing, production, or related industrial operations.
-
D.
isIndustrialCommunity
Indicates that a community is primarily characterized by industrial activities, such as manufacturing, production, or related industrial operations.
-
E.
isIndustrialCenter
Indicates that a place functions as a major hub of industrial activity, production, or manufacturing within a region.
- 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_69ca839843408190a39069a029a89f15 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc670dc0c88190b1f59e96ad88e4ee |
completed | April 1, 2026, 12:30 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed74d288190b712d739805579dc |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 6:59 p.m.