Triple
T16815125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seongnam |
E408723
|
entity |
| Predicate | hasSportsTeam |
P330
|
FINISHED |
| Object |
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.
|
E1234952
|
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: Seongnam FC | Statement: [Seongnam, hasSportsTeam, Seongnam FC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seongnam FC Context triple: [Seongnam, hasSportsTeam, Seongnam FC]
-
A.
Suwon FC
Suwon FC is a professional South Korean football club based in the city of Suwon that competes in the K League.
-
B.
FC Seoul
FC Seoul is a professional South Korean football club based in Seoul that competes in the K League 1 and is regarded as one of the country's most successful and popular teams.
-
C.
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.
-
D.
Daegu FC
Daegu FC is a professional South Korean football club based in Daegu that competes in the K League.
-
E.
Daejeon Hana Citizen FC
Daejeon Hana Citizen FC is a professional South Korean football club based in the city of Daejeon that competes in the K League system.
- 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: Seongnam FC Triple: [Seongnam, hasSportsTeam, Seongnam FC]
Generated description
Seongnam FC is a professional South Korean football club based in Seongnam, known as one of the K League’s historically most successful teams.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seongnam FC Target entity description: Seongnam FC is a professional South Korean football club based in Seongnam, known as one of the K League’s historically most successful teams.
-
A.
Suwon FC
Suwon FC is a professional South Korean football club based in the city of Suwon that competes in the K League.
-
B.
FC Seoul
FC Seoul is a professional South Korean football club based in Seoul that competes in the K League 1 and is regarded as one of the country's most successful and popular teams.
-
C.
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.
-
D.
Daegu FC
Daegu FC is a professional South Korean football club based in Daegu that competes in the K League.
-
E.
Daejeon Hana Citizen FC
Daejeon Hana Citizen FC is a professional South Korean football club based in the city of Daejeon that competes in the K League system.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b2e0e05081908bd5eaa64abe133d |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b2946ddc81908b1e7c662dc943ff |
completed | May 10, 2026, 4:30 p.m. |
| NEDg | Description generation | batch_6a00b3aafac08190b3e0181780f45392 |
completed | May 10, 2026, 4:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00b466ecd08190b7b5ee54476631ab |
completed | May 10, 2026, 4:37 p.m. |
Created at: April 10, 2026, 5:23 a.m.