Triple
T16535400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suwon |
E401676
|
entity |
| Predicate | hasSportsTeam |
P330
|
FINISHED |
| Object | Suwon Samsung Bluewings |
E652621
|
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: Suwon Samsung Bluewings | Statement: [Suwon, hasSportsTeam, Suwon Samsung Bluewings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suwon Samsung Bluewings Context triple: [Suwon, hasSportsTeam, Suwon Samsung Bluewings]
-
A.
Suwon Samsung Bluewings
chosen
Suwon Samsung Bluewings is a professional South Korean football club based in Suwon, known as one of the K League's most successful and popular teams.
-
B.
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.
-
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.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e345574d88819094548367bf983078 |
completed | April 18, 2026, 8:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006094dee481908757b84c10d0dc19 |
completed | May 10, 2026, 10:40 a.m. |
Created at: April 10, 2026, 5:15 a.m.