Triple
T2491196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Teme |
E52044
|
entity |
| Predicate | landUseInBasin |
P38195
|
FINISHED |
| Object | predominantly rural |
—
|
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: predominantly rural | Statement: [River Teme, landUseInBasin, predominantly rural]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landUseInBasin Context triple: [River Teme, landUseInBasin, predominantly rural]
-
A.
basinType
Indicates the specific kind or classification of a basin associated with an entity (e.g., by form, function, or hydrological role).
-
B.
majorLandUse
chosen
Indicates the primary way a given area of land is utilized or designated (e.g., residential, commercial, agricultural).
-
C.
landUseIncludes
Indicates that a specified land area contains or permits the specified type(s) of land use within its boundaries.
-
D.
hasFloodplainUse
Indicates that a floodplain area is being used or designated for a particular purpose or activity.
-
E.
basin
Indicates a geographic area where surface water drains into a common outlet, such as a river, lake, or ocean.
- 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_69ab4955111c8190835bf619adec21ff |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd18fe32081909580c6272a6013c5 |
completed | March 7, 2026, 7:19 a.m. |
| PD | Predicate disambiguation | batch_69abd0b980b481908d4932bcea4a6167 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:45 p.m.