Triple
T27043775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gimje |
E684562
|
entity |
| Predicate | hasRiceFieldLandscape |
P85002
|
FINISHED |
| Object | extensive paddy fields |
—
|
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: extensive paddy fields | Statement: [Gimje, hasRiceFieldLandscape, extensive paddy fields]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRiceFieldLandscape Context triple: [Gimje, hasRiceFieldLandscape, extensive paddy fields]
-
A.
hasRuralLandscapeType
chosen
Indicates that an entity is associated with or characterized by a specific type of rural landscape.
-
B.
numberOfRiceStalks
Indicates the quantity or count of rice stalks associated with a given entity or context.
-
C.
hasAgriculturalCharacter
Indicates that something possesses qualities, features, or uses typical of agriculture or farming activities.
-
D.
isCultivated
Indicates that an entity is intentionally grown, managed, or maintained by humans rather than occurring or developing naturally without human intervention.
-
E.
hasIrrigatedAgriculture
Indicates that an entity engages in or possesses agricultural activities that are supported or sustained by artificial irrigation systems.
- 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_69ef148193c48190bb1a0cfae6a407c4 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 27, 2026, 8:08 a.m.