Triple
T7413020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yinchuan |
E171056
|
entity |
| Predicate | agriculturalFeature |
P49740
|
FINISHED |
| Object | irrigated plains of the Yellow River |
—
|
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: irrigated plains of the Yellow River | Statement: [Yinchuan, agriculturalFeature, irrigated plains of the Yellow River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: agriculturalFeature Context triple: [Yinchuan, agriculturalFeature, irrigated plains of the Yellow River]
-
A.
farmingCharacteristics
Indicates the specific methods, practices, or attributes that characterize how farming is conducted in relation to an entity.
-
B.
agriculturalPractice
Indicates a relationship where an entity engages in, applies, or is associated with a specific method or technique of agriculture or farming.
-
C.
agricultureUse
chosen
Indicates that something is used for, involved in, or designated for agricultural activities or purposes.
-
D.
hasAgriculturalCharacter
Indicates that something possesses qualities, features, or uses typical of agriculture or farming activities.
-
E.
farmingStructure
Indicates that one entity is a structure or facility used for farming-related activities in relation to another entity.
- 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_69c68a618bdc81908d8018edadecd1a4 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2c336308190932c14cec5eec25f |
completed | March 27, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69c6f0345040819094c5756dfa487faf |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:11 p.m.