Triple
T10002565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oughtrington Brook |
E197361
|
entity |
| Predicate | hasLandscapeImpact |
P89454
|
FINISHED |
| Object | shapes local topography in parts of Lymm |
—
|
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: shapes local topography in parts of Lymm | Statement: [Oughtrington Brook, hasLandscapeImpact, shapes local topography in parts of Lymm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLandscapeImpact Context triple: [Oughtrington Brook, hasLandscapeImpact, shapes local topography in parts of Lymm]
-
A.
hasLandscapeFeatures
Indicates that an entity possesses or includes specific landscape-related characteristics or elements.
-
B.
hasLandscapeDesignInfluence
Indicates that one entity has influenced or shaped the landscape design style, principles, or features of another entity.
-
C.
hasEnvironmentalImpactOn
Indicates that one entity affects or alters the environmental conditions, quality, or ecological state of another entity.
-
D.
hasLocalImpact
chosen
Indicates that an entity produces effects or consequences within a specific local area or community.
-
E.
hasImpactFocus
Indicates that an entity is primarily concerned with or directed toward a particular type or area of impact.
- 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_69ca82f3b61c81908ecc2c1c96dbc2e4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcc9078788190a4e75dd7ff830c63 |
completed | April 2, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69cd1da2cf9081908a6c0eb5247d0bc2 |
completed | April 1, 2026, 1:29 p.m. |
Created at: March 30, 2026, 8:51 p.m.