Triple

T32903244
Position Surface form Disambiguated ID Type / Status
Subject Korea Foundation E841666 entity
Predicate nativeName P15 FINISHED
Object 한국국제교류재단 E841666 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: 한국국제교류재단 | Statement: [Korea Foundation, nativeName, 한국국제교류재단]

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_69f34946a5208190bbd79f0fec4323bd completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d07be6f881908b026179fa740b0a completed May 3, 2026, 4:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34c692d8d481909f05bf78f4f1a6e7 completed June 19, 2026, 4:33 a.m.
Created at: May 1, 2026, 1:19 a.m.