Triple
T16219036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R.S.C. Anderlecht |
E393669
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Paars-wit
Paars-wit is the traditional purple-and-white color identity associated with Belgian football club R.S.C. Anderlecht.
|
E1201432
|
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: Paars-wit | Statement: [R.S.C. Anderlecht, nickname, Paars-wit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paars-wit Context triple: [R.S.C. Anderlecht, nickname, Paars-wit]
-
A.
Rood-witten
Rood-witten is a popular nickname for PSV Eindhoven, referring to the club’s traditional red-and-white team colors.
-
B.
Black and Yellow
"Black and Yellow" is a 2010 hip-hop single by Wiz Khalifa that became a major commercial hit and an anthem associated with the city of Pittsburgh.
-
C.
Geel-zwarten
Geel-zwarten is a common Dutch nickname referring to the football club Vitesse, derived from the team’s yellow-and-black colors.
-
D.
Pink & Blue
"Pink & Blue" is a smooth, romantic R&B/neo-soul track by André 3000 from OutKast’s acclaimed double album *Speakerboxxx/The Love Below*.
-
E.
Borouge
Borouge is a leading petrochemicals company based in the United Arab Emirates, specializing in the production of polyolefins for packaging, infrastructure, and industrial applications.
- 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: Paars-wit Triple: [R.S.C. Anderlecht, nickname, Paars-wit]
Generated description
Paars-wit is the traditional purple-and-white color identity associated with Belgian football club R.S.C. Anderlecht.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paars-wit Target entity description: Paars-wit is the traditional purple-and-white color identity associated with Belgian football club R.S.C. Anderlecht.
-
A.
Rood-witten
Rood-witten is a popular nickname for PSV Eindhoven, referring to the club’s traditional red-and-white team colors.
-
B.
Black and Yellow
"Black and Yellow" is a 2010 hip-hop single by Wiz Khalifa that became a major commercial hit and an anthem associated with the city of Pittsburgh.
-
C.
Geel-zwarten
Geel-zwarten is a common Dutch nickname referring to the football club Vitesse, derived from the team’s yellow-and-black colors.
-
D.
Pink & Blue
"Pink & Blue" is a smooth, romantic R&B/neo-soul track by André 3000 from OutKast’s acclaimed double album *Speakerboxxx/The Love Below*.
-
E.
Borouge
Borouge is a leading petrochemicals company based in the United Arab Emirates, specializing in the production of polyolefins for packaging, infrastructure, and industrial applications.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e227f95de081908e1abe32d281dbe7 |
completed | April 17, 2026, 12:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000796bc5c81909d2acb68851c9bb8 |
completed | May 10, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_6a000a37eacc8190843d35065b51ea36 |
completed | May 10, 2026, 4:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a000aaedb5c8190858536fc8285648a |
completed | May 10, 2026, 4:33 a.m. |
Created at: April 10, 2026, 5:03 a.m.