Triple
T3838878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roos |
E93402
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
KC Roos
KC Roos is a sports team, likely a collegiate athletics program, known by the abbreviated name "KC Roos."
|
E393802
|
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: KC Roos | Statement: [Roos, shortName, KC Roos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KC Roos Context triple: [Roos, shortName, KC Roos]
-
A.
KRC Genk
KRC Genk is a Belgian professional football club known for developing top talents, including Kevin De Bruyne, and competing in the country’s top division.
-
B.
Twente
Twente is a historical and cultural region in the eastern Netherlands known for its rural landscapes, industrial heritage, and cities such as Enschede and Hengelo.
-
C.
FC Eindhoven
FC Eindhoven is a Dutch professional football club from Eindhoven that competes in the country’s league system and shares a historic city rivalry with PSV Eindhoven.
-
D.
SC Heerenveen
SC Heerenveen is a Dutch professional football club based in Heerenveen, known for competing in the Eredivisie and developing young talent.
-
E.
FC Twente
FC Twente is a professional football club from Enschede in the Netherlands, known for competing in the Eredivisie and winning the Dutch league title in 2010.
- 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: KC Roos Triple: [Roos, shortName, KC Roos]
Generated description
KC Roos is a sports team, likely a collegiate athletics program, known by the abbreviated name "KC Roos."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KC Roos Target entity description: KC Roos is a sports team, likely a collegiate athletics program, known by the abbreviated name "KC Roos."
-
A.
KRC Genk
KRC Genk is a Belgian professional football club known for developing top talents, including Kevin De Bruyne, and competing in the country’s top division.
-
B.
Twente
Twente is a historical and cultural region in the eastern Netherlands known for its rural landscapes, industrial heritage, and cities such as Enschede and Hengelo.
-
C.
FC Eindhoven
FC Eindhoven is a Dutch professional football club from Eindhoven that competes in the country’s league system and shares a historic city rivalry with PSV Eindhoven.
-
D.
SC Heerenveen
SC Heerenveen is a Dutch professional football club based in Heerenveen, known for competing in the Eredivisie and developing young talent.
-
E.
FC Twente
FC Twente is a professional football club from Enschede in the Netherlands, known for competing in the Eredivisie and winning the Dutch league title in 2010.
- 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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeeb9f305c8190b71ac53bbb0c4beb |
completed | March 9, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5040835dc81909ecf5053128f1cc7 |
completed | March 14, 2026, 6:45 a.m. |
| NEDg | Description generation | batch_69b507cfee048190a41ad30f4ceaf6c8 |
completed | March 14, 2026, 7:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b50857e9ec8190bb03f13c4573b779 |
completed | March 14, 2026, 7:03 a.m. |
Created at: March 9, 2026, 3:18 p.m.