Triple
T22180984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Changwon |
E548165
|
entity |
| Predicate | hasSportsTeam |
P330
|
FINISHED |
| Object |
Gyeongnam FC
Gyeongnam FC is a professional South Korean football club based in Changwon that competes in the K League.
|
E1522673
|
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: Gyeongnam FC | Statement: [Changwon, hasSportsTeam, Gyeongnam FC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gyeongnam FC Context triple: [Changwon, hasSportsTeam, Gyeongnam FC]
-
A.
Daegu FC
Daegu FC is a professional South Korean football club based in Daegu that competes in the K League.
-
B.
Suwon FC
Suwon FC is a professional South Korean football club based in the city of Suwon that competes in the K League.
-
C.
Seongnam FC
Seongnam FC is a professional South Korean football club based in Seongnam, known as one of the K League’s historically most successful teams.
-
D.
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.
-
E.
Ulsan HD FC
Ulsan HD FC is a professional South Korean football club based in Ulsan that competes in the K League 1 and is known as one of the country's leading teams.
- 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: Gyeongnam FC Triple: [Changwon, hasSportsTeam, Gyeongnam FC]
Generated description
Gyeongnam FC is a professional South Korean football club based in Changwon that competes in the K League.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gyeongnam FC Target entity description: Gyeongnam FC is a professional South Korean football club based in Changwon that competes in the K League.
-
A.
Daegu FC
Daegu FC is a professional South Korean football club based in Daegu that competes in the K League.
-
B.
Suwon FC
Suwon FC is a professional South Korean football club based in the city of Suwon that competes in the K League.
-
C.
Seongnam FC
Seongnam FC is a professional South Korean football club based in Seongnam, known as one of the K League’s historically most successful teams.
-
D.
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.
-
E.
Ulsan HD FC
Ulsan HD FC is a professional South Korean football club based in Ulsan that competes in the K League 1 and is known as one of the country's leading teams.
- 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aa4d4ac8190922b919c15623963 |
completed | April 28, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a9ecaeb9481909ec0ddab80a4b6cb |
completed | May 18, 2026, 5:08 a.m. |
| NEDg | Description generation | batch_6a0aa0066d0481909872d8e1dbbe2fcf |
completed | May 18, 2026, 5:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aa07acd5c8190bc73cc1d8897fa01 |
completed | May 18, 2026, 5:15 a.m. |
Created at: April 16, 2026, 8:35 p.m.