Triple

T26004444
Position Surface form Disambiguated ID Type / Status
Subject Chonnam National University E646718 entity
Predicate foundedAs P364 FINISHED
Object Kwangju Teachers College
Kwangju Teachers College was a former teacher-training institution in Gwangju, South Korea, that later evolved into part of Chonnam National University.
 E1707378 NE 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: Kwangju Teachers College | Statement: [Chonnam National University, foundedAs, Kwangju Teachers College]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kwangju Teachers College
Triple: [Chonnam National University, foundedAs, Kwangju Teachers College]
Generated description
Kwangju Teachers College was a former teacher-training institution in Gwangju, South Korea, that later evolved into part of Chonnam National University.

Provenance (5 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_69e77e89d5848190b54352cdb74f6029 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f6057964948190b3ecab50a47a5e7c completed May 2, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a111b0d5e04819085ac6e8101fb9153 completed May 23, 2026, 3:12 a.m.
NEDg Description generation batch_6a111bd7e1188190b3275dc1efe4bfb3 completed May 23, 2026, 3:15 a.m.
NED2 Entity disambiguation (via description) batch_6a111cbb1ed88190a4980f8fc8a0a19f completed May 23, 2026, 3:19 a.m.
Created at: April 22, 2026, 9 a.m.