Triple
T8181956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ernman–Thunberg family |
E191082
|
entity |
| Predicate | socialIssueFocus |
P15142
|
FINISHED |
| Object | climate change mitigation |
—
|
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: climate change mitigation | Statement: [Ernman–Thunberg family, socialIssueFocus, climate change mitigation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialIssueFocus Context triple: [Ernman–Thunberg family, socialIssueFocus, climate change mitigation]
-
A.
socialIssue
Indicates a relationship where something is recognized or treated as a problem or concern affecting society or a community at large.
-
B.
socialConcern
chosen
Indicates a relationship where an entity is concerned about, attentive to, or actively engaged with social issues, problems, or well-being.
-
C.
socialReformFocus
Indicates a focus on changing or improving social structures, policies, or conditions as part of a reform effort.
-
D.
socialImpact
Indicates the extent to which an action, entity, or relationship affects society or communities, whether positively or negatively.
-
E.
society
Indicates a relationship in which individuals or groups are organized into a structured community bound by shared institutions, norms, or social systems.
- 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_69ca82c4538081909404325aa5639483 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4c4db8748190aa785e0c70fac497 |
completed | March 31, 2026, 4:23 a.m. |
| PD | Predicate disambiguation | batch_69cb36a7952481908f34e3e82f375a84 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:40 p.m.