Triple
T11502600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Special Area of Conservation (in parts) |
E272698
|
entity |
| Predicate | dataRecordedIn |
P19351
|
FINISHED |
| Object | national and EU Natura 2000 databases |
—
|
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: national and EU Natura 2000 databases | Statement: [Special Area of Conservation (in parts), dataRecordedIn, national and EU Natura 2000 databases]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataRecordedIn Context triple: [Special Area of Conservation (in parts), dataRecordedIn, national and EU Natura 2000 databases]
-
A.
recordedWith
Indicates that something was captured, documented, or produced using a particular tool, device, medium, or method.
-
B.
recordedFor
chosen
Indicates that something has been documented, captured, or logged on behalf of or in association with a particular entity or context.
-
C.
reRecordedFrom
Indicates that one recording is a new recording derived from, based on, or made again from an earlier recording.
-
D.
recorded
Indicates that one entity captured, stored, or documented information, audio, video, or data about another entity or event.
-
E.
isOftenRecordedWith
Indicates that one entity is frequently documented, captured, or logged at the same time as another entity.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85de55cbc8190be71c2d03dc044f2 |
completed | April 10, 2026, 2:18 a.m. |
| PD | Predicate disambiguation | batch_69d808736c5c8190899b5b3b2e797f65 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.