Triple
T33985035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ukraine |
E871388
|
entity |
| Predicate | hasFertilePlains |
P121969
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Ukraine, hasFertilePlains, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFertilePlains Context triple: [Ukraine, hasFertilePlains, yes]
-
A.
hasFertileLand
chosen
Indicates that one entity possesses or contains land that is capable of supporting abundant plant growth or agricultural production.
-
B.
hasMeadow
Indicates that one entity possesses, contains, or includes a meadow as part of its area or composition.
-
C.
hasAgricultureConstraint
Indicates that there is a limiting condition or restriction affecting agricultural activities or practices.
-
D.
isAgriculturalCity
Indicates that a city is primarily characterized by agriculture-based activities, economy, or land use.
-
E.
hasLandComponent
Indicates that something includes, consists of, or is associated with a land-based part or portion as one of its components.
- 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_69f3499e964c8190b674b03f6f791b4b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 1, 2026, 1:50 a.m.