Triple
T4088602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Kalākaua |
E87650
|
entity |
| Predicate | yearOfWorldTour |
P38347
|
FINISHED |
| Object | 1881 |
—
|
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: 1881 | Statement: [King Kalākaua, yearOfWorldTour, 1881]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfWorldTour Context triple: [King Kalākaua, yearOfWorldTour, 1881]
-
A.
firstTourDeFranceYear
Indicates the year in which an entity (typically a cyclist) first participated in the Tour de France.
-
B.
numberOfGrandTourOverallVictories
Indicates the total count of times an entity has won the overall classification in any of cycling’s Grand Tours (Tour de France, Giro d’Italia, or Vuelta a España).
-
C.
firstTourYear
chosen
Indicates the year in which an entity (such as a performer, team, or event) undertook its first tour.
-
D.
uciWorldTourEventSince
Indicates that an event has been part of the UCI World Tour starting from a specified date or season.
-
E.
UciRoadWorldChampionshipsRoadRaceWinYear
Indicates the year in which an entity won the UCI Road World Championships road race.
- 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_69aed94425148190be337845d56fac22 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefca9e9088190a97cb2ccb5d622f0 |
completed | March 9, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69aef909c9c88190b09d48dad325a83c |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:39 p.m.