Triple
T17851453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gangneung |
E445814
|
entity |
| Predicate | hasSportsTeam |
P330
|
FINISHED |
| Object |
Gangneung City FC
Gangneung City FC is a South Korean football club based in the city of Gangneung that competes in the lower tiers of the national league system.
|
E1292283
|
NE FINISHED |
How this triple was built (4 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: Gangneung City FC | Statement: [Gangneung, hasSportsTeam, Gangneung City FC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gangneung City FC Context triple: [Gangneung, hasSportsTeam, Gangneung City FC]
-
A.
Cheonan City FC
Cheonan City FC is a South Korean professional football club based in the city of Cheonan that competes in the national league system.
-
B.
Daegu FC
Daegu FC is a professional South Korean football club based in Daegu that competes in the K League.
-
C.
Cheongju FC
Cheongju FC is a South Korean professional football club based in the city of Cheongju.
-
D.
Suwon FC
Suwon FC is a professional South Korean football club based in the city of Suwon that competes in the K League.
-
E.
Incheon United FC
Incheon United FC is a professional South Korean football club based in the city of Incheon that competes in the K League.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Gangneung City FC Triple: [Gangneung, hasSportsTeam, Gangneung City FC]
Generated description
Gangneung City FC is a South Korean football club based in the city of Gangneung that competes in the lower tiers of the national league system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gangneung City FC Target entity description: Gangneung City FC is a South Korean football club based in the city of Gangneung that competes in the lower tiers of the national league system.
-
A.
Cheonan City FC
Cheonan City FC is a South Korean professional football club based in the city of Cheonan that competes in the national league system.
-
B.
Daegu FC
Daegu FC is a professional South Korean football club based in Daegu that competes in the K League.
-
C.
Cheongju FC
Cheongju FC is a South Korean professional football club based in the city of Cheongju.
-
D.
Suwon FC
Suwon FC is a professional South Korean football club based in the city of Suwon that competes in the K League.
-
E.
Incheon United FC
Incheon United FC is a professional South Korean football club based in the city of Incheon that competes in the K League.
- F. None of above. chosen
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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48fff6c288190a2b5e60b66c03ddc |
completed | April 19, 2026, 8:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a030c5e368081908df3a20cd40aeb9f |
completed | May 12, 2026, 11:17 a.m. |
| NEDg | Description generation | batch_6a030d2ebb44819083c58cfae6c7ca47 |
completed | May 12, 2026, 11:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a030e1b78388190bbad5f4f967c31d3 |
completed | May 12, 2026, 11:25 a.m. |
Created at: April 10, 2026, 10:17 a.m.