Triple
T24976890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TI–Raleigh |
E625045
|
entity |
| Predicate | hadNotableRider |
P158699
|
FINISHED |
| Object |
Leo van Vliet
Leo van Vliet is a retired Dutch professional road cyclist best known for his classics performances in the late 1970s and early 1980s, including victory at the 1983 Amstel Gold Race.
|
E1786891
|
NE FINISHED |
How this triple was built (3 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: Leo van Vliet | Statement: [TI–Raleigh, hadNotableRider, Leo van Vliet]
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: Leo van Vliet Triple: [TI–Raleigh, hadNotableRider, Leo van Vliet]
Generated description
Leo van Vliet is a retired Dutch professional road cyclist best known for his classics performances in the late 1970s and early 1980s, including victory at the 1983 Amstel Gold Race.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadNotableRider Context triple: [TI–Raleigh, hadNotableRider, Leo van Vliet]
-
A.
hadNotableRider
chosen
Indicates that an animal, vehicle, or conveyance was ridden by a person considered historically or culturally notable.
-
B.
hasNotableRide
Indicates that an entity is associated with a particularly remarkable or well-known ride or attraction.
-
C.
hasNotableJockey
Indicates that an entity (typically a racehorse) is or was ridden by a jockey who is considered notable or distinguished.
-
D.
hasNotableHorse
Indicates that an entity is associated with a horse that is considered notable or distinguished in some recognized way.
-
E.
hasNotableSurfer
Indicates that an entity is associated with a surfer who is recognized as notable or distinguished in some way.
- F. None of above.
Provenance (6 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_69e2ff254570819093d197b1900305ac |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a12e427413881908b70314d1a46f530 |
completed | May 24, 2026, 11:42 a.m. |
| NEDg | Description generation | batch_6a12e5c4d7388190b977f2268212f04f |
completed | May 24, 2026, 11:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a12e658fe4c8190b4fbbbc2a8a4f796 |
completed | May 24, 2026, 11:51 a.m. |
| PD | Predicate disambiguation | batch_69f48060597c8190a4414e4e4fcb1fec |
completed | May 1, 2026, 10:28 a.m. |
Created at: April 18, 2026, 6:02 a.m.