Triple
T34550133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wye catchment |
E887038
|
entity |
| Predicate | containsSiteDesignation |
P111174
|
FINISHED |
| Object | Special Area of Conservation |
—
|
NE NERFINISHED |
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: Special Area of Conservation | Statement: [Wye catchment, containsSiteDesignation, Special Area of Conservation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsSiteDesignation Context triple: [Wye catchment, containsSiteDesignation, Special Area of Conservation]
-
A.
hasDiscoveryDesignation
Indicates that an entity has been assigned a specific designation or label associated with its discovery.
-
B.
previousDesignationIncludes
Indicates that an entity’s earlier or former official name, title, or designation contained the specified value.
-
C.
environmentDesignation
chosen
Indicates that an entity is assigned a specific environmental classification or status within a given context.
-
D.
associatedDesignation
Indicates that one entity is linked to or identified by a particular designation, title, or label connected with it.
-
E.
hasCriticalDesignation
Indicates that an entity has been assigned a status or label marking it as critical in importance, priority, or required attention.
- 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_69f349cff89081908f91e0b064f4833e |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a00776c4ebc8190899005fda34234d5 |
completed | May 10, 2026, 12:17 p.m. |
| PD | Predicate disambiguation | batch_6a0076f8a4c4819093ed577e67aa38f9 |
completed | May 10, 2026, 12:15 p.m. |
Created at: May 1, 2026, 2:02 a.m.