Triple

T1701397
Position Surface form Disambiguated ID Type / Status
Subject Second Assessment Report E36773 entity
Predicate hasKeyFinding P25771 FINISHED
Object most of the observed warming over the last 50 years is likely to have been due to the increase in greenhouse gas concentrations LITERAL FINISHED

How this triple was built (1 step)

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: most of the observed warming over the last 50 years is likely to have been due to the increase in greenhouse gas concentrations | Statement: [Second Assessment Report, hasKeyFinding, most of the observed warming over the last 50 years is likely to have been due to the increase in greenhouse gas concentrations]

Provenance (2 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_69a886163dec8190859c514232a37a05 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abaffad4748190995fec39bc8d7a1f completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:30 p.m.