Triple
T10224712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mandela Challenge Plate |
E243175
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Mandela Plate
The Mandela Plate is a South African horse racing trophy event named in honor of Nelson Mandela, attracting top thoroughbreds to compete annually.
|
E850578
|
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: Mandela Plate | Statement: [Mandela Challenge Plate, alsoKnownAs, Mandela Plate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mandela Plate Context triple: [Mandela Challenge Plate, alsoKnownAs, Mandela Plate]
-
A.
Mengistu
Mengistu is a male given name of Ethiopian origin, notably borne by several prominent Ethiopian political and military figures.
-
B.
Wazwan
Wazwan is a lavish multi-course feast from Kashmir, renowned for its rich meat-based dishes and central role in weddings and special celebrations.
-
C.
Tsévié
Tsévié is a town in southern Togo that serves as an important regional center for trade and agriculture.
-
D.
Balado
Balado is a small settlement in Kinross-shire, Scotland, best known for its former NATO communications base and as the long-time site of the T in the Park music festival.
-
E.
Manda
Manda is a lesser-known Dravidian language spoken by tribal communities in parts of eastern India, particularly in Odisha.
- 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: Mandela Plate Triple: [Mandela Challenge Plate, alsoKnownAs, Mandela Plate]
Generated description
The Mandela Plate is a South African horse racing trophy event named in honor of Nelson Mandela, attracting top thoroughbreds to compete annually.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mandela Plate Target entity description: The Mandela Plate is a South African horse racing trophy event named in honor of Nelson Mandela, attracting top thoroughbreds to compete annually.
-
A.
Mengistu
Mengistu is a male given name of Ethiopian origin, notably borne by several prominent Ethiopian political and military figures.
-
B.
Wazwan
Wazwan is a lavish multi-course feast from Kashmir, renowned for its rich meat-based dishes and central role in weddings and special celebrations.
-
C.
Tsévié
Tsévié is a town in southern Togo that serves as an important regional center for trade and agriculture.
-
D.
Balado
Balado is a small settlement in Kinross-shire, Scotland, best known for its former NATO communications base and as the long-time site of the T in the Park music festival.
-
E.
Manda
Manda is a lesser-known Dravidian language spoken by tribal communities in parts of eastern India, particularly in Odisha.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d1f860048190bb20f7d3bf87f347 |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6a8457e9c819085f222bb002be892 |
completed | April 8, 2026, 7:11 p.m. |
| NEDg | Description generation | batch_69d6d00220ec81909d189e64eda2a28f |
completed | April 8, 2026, 10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6df44ad5481909100b596d2bf3b07 |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 6, 2026, 11:16 a.m.