Triple
T20934672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Solutions We Have and the Breakthroughs We Need |
E515551
|
entity |
| Predicate | partOfWorkMainSubject |
P7040
|
FINISHED |
| Object | global warming |
—
|
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: global warming | Statement: [The Solutions We Have and the Breakthroughs We Need, partOfWorkMainSubject, global warming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfWorkMainSubject Context triple: [The Solutions We Have and the Breakthroughs We Need, partOfWorkMainSubject, global warming]
-
A.
partOfWorkType
Indicates that something is a component, subtype, or specific category within a broader type of work.
-
B.
mainPartOf
Indicates that one entity is the primary or most significant component of another entity.
-
C.
subjectOfWork
chosen
Indicates that one entity is the main topic, focus, or theme that a particular work (such as a book, article, or artwork) is about.
-
D.
partOfWorkStructure
Indicates that one work-related component, role, or task is included within or belongs to a larger organizational or work structure.
-
E.
subjectMatter
Indicates the topic, theme, or content area that something (such as a work, document, or discussion) is about.
- 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f94fc194819099df82357a7f33c7 |
completed | April 21, 2026, 4:13 a.m. |
| PD | Predicate disambiguation | batch_69e5c9af1fe08190953366a466950140 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:49 p.m.