Triple
T16181274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mick Doohan |
E392687
|
entity |
| Predicate | numberOfWorldTitles |
P15197
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Mick Doohan, numberOfWorldTitles, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfWorldTitles Context triple: [Mick Doohan, numberOfWorldTitles, 5]
-
A.
worldChampionshipTitles
chosen
Indicates the number of world championship titles an entity has won.
-
B.
worldTitles
Indicates that an entity has won one or more world championship titles in a given field or competition.
-
C.
WorldCupOverallTitles
Indicates the total number of World Cup championship titles an entity has won across all tournaments.
-
D.
numberOfLeagueTitles
Indicates the total count of league championship titles that an entity has won.
-
E.
countryWithMostTitles
Indicates the country that holds the highest number of titles (e.g., championships or awards) within a specified competition or context.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205c92b48190b7125dbbcff3662e |
completed | April 17, 2026, 11:58 a.m. |
| PD | Predicate disambiguation | batch_69e219d642708190ba31a90dce76a210 |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:02 a.m.