Triple

T23908488
Position Surface form Disambiguated ID Type / Status
Subject South Korea launch vehicle development program E601269 entity
Predicate technologyPartner P25917 FINISHED
Object Russia E10011 NE 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: Russia | Statement: [South Korea launch vehicle development program, technologyPartner, Russia]

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_69e295364a488190bcac702e9bb7f764 completed April 17, 2026, 8:16 p.m.
NER Named-entity recognition batch_69f1ce92e7688190ac421570e0d6a942 completed April 29, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fc989a41c8190b10d74bf87c8478c completed May 22, 2026, 3:12 a.m.
Created at: April 17, 2026, 8:37 p.m.