Triple
T13012472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shantou |
E322453
|
entity |
| Predicate | isSpecialEconomicZone |
P21039
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Shantou, isSpecialEconomicZone, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSpecialEconomicZone Context triple: [Shantou, isSpecialEconomicZone, true]
-
A.
designatedAsSpecialEconomicZone
chosen
Indicates that a particular geographic area has been officially designated as a Special Economic Zone, granting it distinct economic or regulatory status compared to surrounding regions.
-
B.
countryExclusiveEconomicZone
Indicates that a specified maritime area lies within the exclusive economic zone legally designated to a particular country.
-
C.
isOneOfChinaFourMunicipalities
Indicates that the subject is one of the four directly administered municipalities of China (Beijing, Shanghai, Tianjin, or Chongqing).
-
D.
hasEconomicZoneType
Indicates the specific classification or category of economic zone associated with an entity.
-
E.
isMajorEconomicAreaFor
Indicates that a location or region serves as a primary center of significant economic activity for a specified entity or sector.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ecbb8f4819094d55eb07cb5ad97 |
completed | April 10, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69d97dc153a081909d13a694993f074a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:49 p.m.