Triple
T11132334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ekeren |
E263314
|
entity |
| Predicate | sportsClub |
P8194
|
FINISHED |
| Object |
KFC Ekeren
KFC Ekeren is a Belgian football club based in the district of Ekeren, Antwerp.
|
E907820
|
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: KFC Ekeren | Statement: [Ekeren, sportsClub, KFC Ekeren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KFC Ekeren Context triple: [Ekeren, sportsClub, KFC Ekeren]
-
A.
KFC
KFC is a Scottish professional football club based in Kilmarnock, known for competing in the Scottish football league system.
-
B.
KFC ’71
KFC ’71 is a Dutch women’s football club known for being one of the early teams in the career of renowned coach and former player Sarina Wiegman.
-
C.
Kentucky Fried Chicken
Kentucky Fried Chicken (KFC) is a global fast-food restaurant chain originating in the United States, best known for its fried chicken and distinctive blend of herbs and spices.
-
D.
White Castle
White Castle is a medieval stone fortress in Monmouthshire, Wales, notable for its well-preserved defensive earthworks and role in the border defenses of the Welsh Marches.
-
E.
Nando
Nando is a diminutive form of the given name Ferdinand, commonly used as a familiar or affectionate nickname.
- 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: KFC Ekeren Triple: [Ekeren, sportsClub, KFC Ekeren]
Generated description
KFC Ekeren is a Belgian football club based in the district of Ekeren, Antwerp.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KFC Ekeren Target entity description: KFC Ekeren is a Belgian football club based in the district of Ekeren, Antwerp.
-
A.
KFC
KFC is a Scottish professional football club based in Kilmarnock, known for competing in the Scottish football league system.
-
B.
KFC ’71
KFC ’71 is a Dutch women’s football club known for being one of the early teams in the career of renowned coach and former player Sarina Wiegman.
-
C.
Kentucky Fried Chicken
Kentucky Fried Chicken (KFC) is a global fast-food restaurant chain originating in the United States, best known for its fried chicken and distinctive blend of herbs and spices.
-
D.
White Castle
White Castle is a medieval stone fortress in Monmouthshire, Wales, notable for its well-preserved defensive earthworks and role in the border defenses of the Welsh Marches.
-
E.
Nando
Nando is a diminutive form of the given name Ferdinand, commonly used as a familiar or affectionate nickname.
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8347a248190837e8c26f25f553a |
completed | April 9, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e441e6b72881908f8288e99df0cb7c |
completed | April 19, 2026, 2:45 a.m. |
| NEDg | Description generation | batch_69e44c09163481909d6a469b1e50b6ff |
completed | April 19, 2026, 3:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4519f4d408190be9863c72006ecad |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 8, 2026, 9:28 p.m.