Triple
T19317103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Millennium Ecosystem Assessment |
E483127
|
entity |
| Predicate | identifiedDriverType |
P29567
|
FINISHED |
| Object | direct drivers of ecosystem change |
—
|
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: direct drivers of ecosystem change | Statement: [Millennium Ecosystem Assessment, identifiedDriverType, direct drivers of ecosystem change]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: identifiedDriverType Context triple: [Millennium Ecosystem Assessment, identifiedDriverType, direct drivers of ecosystem change]
-
A.
driverType
chosen
Indicates the category or role of a driver associated with an entity or activity (e.g., primary, backup, commercial, etc.).
-
B.
driveType
Indicates the type or configuration of the drive mechanism used to power or propel an entity.
-
C.
possibleDriver
Indicates that an entity is a candidate or potential driver of another entity, such as a possible cause, regulator, or influencing factor.
-
D.
coachType
Indicates the specific category or role of a coach associated with an entity (e.g., head coach, assistant coach, position coach).
-
E.
riderType
Indicates the category or role of a rider in relation to a ride, transport service, or vehicle (e.g., passenger, driver, courier).
- 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d843640819089ff3738aae29eb1 |
completed | April 20, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0ef66881909d489d634eee817a |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:32 p.m.