Triple
T1202472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valley and Ridge Province |
E25812
|
entity |
| Predicate | hasSoils |
P1675
|
FINISHED |
| Object | fertile valley soils |
—
|
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: fertile valley soils | Statement: [Valley and Ridge Province, hasSoils, fertile valley soils]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSoils Context triple: [Valley and Ridge Province, hasSoils, fertile valley soils]
-
A.
hasSoil
chosen
Indicates that one entity possesses, contains, or is associated with a particular type or instance of soil.
-
B.
soilPreference
Indicates the type or condition of soil that an entity prefers or is best suited to grow or exist in.
-
C.
hasSedimentsThat
Indicates that one entity contains, includes, or is associated with specific sediments described by the related entity.
-
D.
hasMeadow
Indicates that one entity possesses, contains, or includes a meadow as part of its area or composition.
-
E.
hasRhizoids
Indicates that an organism possesses rhizoids, i.e., root-like structures used for anchorage or absorption.
- 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_69a4942b30f08190a91c60573e16b5ef |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bdbda0b081909c0147121a945e27 |
completed | March 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5ed2b88190aab992913957e1cf |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:46 p.m.