Triple

T24798829
Position Surface form Disambiguated ID Type / Status
Subject Ulsan HD FC E620463 entity
Predicate hasRivalryWith P893 FINISHED
Object Jeonbuk Hyundai Motors FC
Jeonbuk Hyundai Motors FC is a leading South Korean professional football club based in Jeonju, renowned for its multiple K League titles and strong performances in the AFC Champions League.
E1666022 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: Jeonbuk Hyundai Motors FC | Statement: [Ulsan HD FC, hasRivalryWith, Jeonbuk Hyundai Motors FC]
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: Jeonbuk Hyundai Motors FC
Triple: [Ulsan HD FC, hasRivalryWith, Jeonbuk Hyundai Motors FC]
Generated description
Jeonbuk Hyundai Motors FC is a leading South Korean professional football club based in Jeonju, renowned for its multiple K League titles and strong performances in the AFC Champions League.

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_69e2fabe77c8819085f7ce6486248139 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f412a8d7d081909a4b961eadefd30e completed May 1, 2026, 2:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a105cc9dbe08190bde3760242597006 completed May 22, 2026, 1:40 p.m.
NEDg Description generation batch_6a105e66f3b08190a2c6d28fc8a3cf4b completed May 22, 2026, 1:47 p.m.
NED2 Entity disambiguation (via description) batch_6a105ebce9188190b2bb2874b41008f0 completed May 22, 2026, 1:48 p.m.
Created at: April 18, 2026, 4:49 a.m.