Triple
T1899910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fifth Assessment Report |
E37667
|
entity |
| Predicate | synthesizes |
P1075
|
FINISHED |
| Object | peer-reviewed scientific literature |
—
|
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: peer-reviewed scientific literature | Statement: [Fifth Assessment Report, synthesizes, peer-reviewed scientific literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: synthesizes Context triple: [Fifth Assessment Report, synthesizes, peer-reviewed scientific literature]
-
A.
summarizes
Indicates that one entity provides a concise representation or overview of the main points or content of another entity.
-
B.
integrates
chosen
Indicates that one entity combines or brings together another entity or set of entities into a unified, functioning whole.
-
C.
produces
Indicates that one entity creates, generates, or yields another entity as a result or output.
-
D.
analyzes
Indicates that one entity systematically examines or evaluates another entity to understand its nature, structure, or components.
-
E.
concludes
Indicates that one entity brings something (such as an event, process, or discussion) to an end or reaches a final decision or judgment about it.
- 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_69a8861be7148190a680937ec451a304 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb18c46c88190b10c05bf5c6a2d9c |
completed | March 7, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_69abafe7e7e88190b58c0df59187c0c2 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.