Triple
T15466314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bell Cup |
E372038
|
entity |
| Predicate | hasCourse |
P6650
|
FINISHED |
| Object |
Ribbon Road
Ribbon Road is a colorful, candy-themed racetrack featured in the Mario Kart series.
|
E1164545
|
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: Ribbon Road | Statement: [Bell Cup, hasCourse, Ribbon Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ribbon Road Context triple: [Bell Cup, hasCourse, Ribbon Road]
-
A.
Serpentine Road
Serpentine Road is a notable roadway running alongside the Serpentine in Hyde Park, central London.
-
B.
Five Mile Road
Five Mile Road is a major east–west thoroughfare in Livonia, Michigan, forming part of the Detroit area's mile road system and serving as a key route for local traffic and commerce.
-
C.
Slipe Road
Slipe Road is a major thoroughfare in Kingston, Jamaica, serving as a key connector through the Half Way Tree area and surrounding districts.
-
D.
Calder Highway
Calder Highway is a major rural highway in Victoria, Australia, linking Melbourne with the northwestern regions of the state, including the city of Mildura.
-
E.
Tara Road
"Tara Road" is a bestselling contemporary novel by Irish author Maeve Binchy that follows the intertwined lives of two women from Dublin and Connecticut who swap houses to escape personal crises.
- 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: Ribbon Road Triple: [Bell Cup, hasCourse, Ribbon Road]
Generated description
Ribbon Road is a colorful, candy-themed racetrack featured in the Mario Kart series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ribbon Road Target entity description: Ribbon Road is a colorful, candy-themed racetrack featured in the Mario Kart series.
-
A.
Serpentine Road
Serpentine Road is a notable roadway running alongside the Serpentine in Hyde Park, central London.
-
B.
Five Mile Road
Five Mile Road is a major east–west thoroughfare in Livonia, Michigan, forming part of the Detroit area's mile road system and serving as a key route for local traffic and commerce.
-
C.
Slipe Road
Slipe Road is a major thoroughfare in Kingston, Jamaica, serving as a key connector through the Half Way Tree area and surrounding districts.
-
D.
Calder Highway
Calder Highway is a major rural highway in Victoria, Australia, linking Melbourne with the northwestern regions of the state, including the city of Mildura.
-
E.
Tara Road
"Tara Road" is a bestselling contemporary novel by Irish author Maeve Binchy that follows the intertwined lives of two women from Dublin and Connecticut who swap houses to escape personal crises.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f680cec8190836a5ec841dee224 |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c3293dc819097f9e56963c333ee |
completed | May 9, 2026, 3:01 p.m. |
| NEDg | Description generation | batch_69ff4e9abb548190972a230bffb2616c |
completed | May 9, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff4ef514308190a95cb0163717a6b9 |
completed | May 9, 2026, 3:12 p.m. |
Created at: April 10, 2026, 3:33 a.m.