Triple
T15023299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trefl Sopot |
E378139
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object |
Trefl
Trefl is a Polish company best known for producing jigsaw puzzles, board games, and playing cards.
|
E1134129
|
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: Trefl | Statement: [Trefl Sopot, sponsor, Trefl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trefl Context triple: [Trefl Sopot, sponsor, Trefl]
-
A.
King of Clubs
King of Clubs is the playing card designation used by the U.S. military to identify Iraqi Ba'athist leader Izzat Ibrahim al-Douri in the 2003 "most-wanted" deck of cards.
-
B.
Klaver
Klaver is a Dutch surname most notably borne by Jesse Klaver, a prominent Dutch politician and former leader of the GreenLeft (GroenLinks) party.
-
C.
Rey de Copas
Rey de Copas is the famed nickname of Argentine football club Independiente, highlighting its historic dominance and record number of international titles.
-
D.
Rey de Copas
Rey de Copas is the celebrated nickname of Atlético Nacional’s senior football team, highlighting its historic success and numerous title wins.
-
E.
Gwent
Gwent is a historic county and preserved county in southeast Wales, known for its industrial towns and proximity to the Severn Estuary.
- 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: Trefl Triple: [Trefl Sopot, sponsor, Trefl]
Generated description
Trefl is a Polish company best known for producing jigsaw puzzles, board games, and playing cards.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trefl Target entity description: Trefl is a Polish company best known for producing jigsaw puzzles, board games, and playing cards.
-
A.
King of Clubs
King of Clubs is the playing card designation used by the U.S. military to identify Iraqi Ba'athist leader Izzat Ibrahim al-Douri in the 2003 "most-wanted" deck of cards.
-
B.
Klaver
Klaver is a Dutch surname most notably borne by Jesse Klaver, a prominent Dutch politician and former leader of the GreenLeft (GroenLinks) party.
-
C.
Rey de Copas
Rey de Copas is the famed nickname of Argentine football club Independiente, highlighting its historic dominance and record number of international titles.
-
D.
Rey de Copas
Rey de Copas is the celebrated nickname of Atlético Nacional’s senior football team, highlighting its historic success and numerous title wins.
-
E.
Gwent
Gwent is a historic county and preserved county in southeast Wales, known for its industrial towns and proximity to the Severn Estuary.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7de117c8190a1b9fa8d1602057e |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dd2c96c8190a0368678584aaa16 |
completed | May 9, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fea0c35b088190abf578ed016753cd |
completed | May 9, 2026, 2:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea16b16b8819080b31203189f8cfe |
completed | May 9, 2026, 2:52 a.m. |
Created at: April 10, 2026, 2:56 a.m.