Triple
T31257859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shui Xian |
E797029
|
entity |
| Predicate | alternativeProductionArea |
P179058
|
FINISHED |
| Object | Guangdong |
—
|
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: Guangdong | Statement: [Shui Xian, alternativeProductionArea, Guangdong]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alternativeProductionArea Context triple: [Shui Xian, alternativeProductionArea, Guangdong]
-
A.
traditionalProductionArea
Indicates that something originates from or is associated with a region historically recognized for producing it according to established traditions.
-
B.
productionAreaType
Indicates the type or category of area where a product or resource is produced.
-
C.
alternativeGround
Indicates that one entity serves as a substitute or backup basis, reason, or justification for another.
-
D.
hasNearbyProductionArea
Indicates that one entity has a production area located in close physical proximity to it.
-
E.
hasAlternativeProduction
Indicates that an entity has another possible method, process, or source by which it can be produced or generated.
- F. None of above. chosen
Provenance (4 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_69f224dd5fdc81908a4cd24917b67668 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f719cc31ec819099bebcf833b14d76 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71820c6c88190ab38b4fa626d22cc |
completed | May 3, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69f71995853c8190912025c0e83640c8 |
completed | May 3, 2026, 9:47 a.m. |
Created at: April 29, 2026, 9:12 p.m.