Triple
T4079068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Acceleration |
E87432
|
entity |
| Predicate | usedAsEvidenceFor |
P3650
|
FINISHED |
| Object | onset of the Anthropocene |
—
|
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: onset of the Anthropocene | Statement: [Great Acceleration, usedAsEvidenceFor, onset of the Anthropocene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsEvidenceFor Context triple: [Great Acceleration, usedAsEvidenceFor, onset of the Anthropocene]
-
A.
usedEvidenceType
Indicates that a particular type or category of evidence was employed or relied upon in a given context or activity.
-
B.
providesEvidenceFor
chosen
Indicates that one entity serves as support, justification, or proof for the validity or truth of another entity.
-
C.
usedInCourts
Indicates that something is employed or applied within legal court settings, such as in judicial proceedings or courtroom processes.
-
D.
usedAsBasisFor
Indicates that one entity serves as the foundation, reference, or starting point upon which another entity is developed, derived, justified, or constructed.
-
E.
usedAsExampleIn
Indicates that one entity is cited or presented as an illustrative example within another entity, such as a text, discussion, or explanation.
- 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_69aed9435cf48190ad1da737c962d19d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc4e95b08190bd1ee8f6d3a9613c |
completed | March 9, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69aef9082c2081908474f082a49bebc8 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:39 p.m.