Triple
T9568317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2013 World Dragon Boat Racing Championships |
E230844
|
entity |
| Predicate | hasRaceDistance |
P20127
|
FINISHED |
| Object | 200 m |
—
|
LITERAL FINISHED |
How this triple was built (2 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: 200 m | Statement: [2013 World Dragon Boat Racing Championships, hasRaceDistance, 200 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRaceDistance Context triple: [2013 World Dragon Boat Racing Championships, hasRaceDistance, 200 m]
-
A.
raceDistanceType
Indicates the specific type or category of distance over which a race is conducted.
-
B.
majorRaceDistance
chosen
Indicates the standard or primary distance over which a major race or competition is contested.
-
C.
hasRace
Indicates that an entity possesses or is characterized by a particular race or racial classification.
-
D.
hasRaceClass
Indicates that an entity participates in or is associated with a particular race classification or category.
-
E.
hasRaceSurface
Indicates that an event or activity takes place on, or is associated with, a specific type of race surface.
- F. None of above.
Provenance (3 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_69ca847f22188190a56e4a97625bef22 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9987cb0c8190af32a1193de54890 |
completed | April 1, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69ccd59b960c8190966a8870a2426bd5 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:04 p.m.