Triple

T26288512
Position Surface form Disambiguated ID Type / Status
Subject Shaping the post-Napoleonic European settlement E661202 entity
Predicate approach P1717 FINISHED
Object pragmatic balance-of-power diplomacy 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: pragmatic balance-of-power diplomacy | Statement: [Shaping the post-Napoleonic European settlement, approach, pragmatic balance-of-power diplomacy]

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_69ee812bbd448190be4d7478b057990a completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f60e790adc8190854b8171fc7523dc completed May 2, 2026, 2:47 p.m.
Created at: April 26, 2026, 10:06 p.m.