Triple
T32024838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Rapid Chess Champion |
E817789
|
entity |
| Predicate | titleDuration |
P50218
|
FINISHED |
| Object | usually held for one year until the next championship |
—
|
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: usually held for one year until the next championship | Statement: [World Rapid Chess Champion, titleDuration, usually held for one year until the next championship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleDuration Context triple: [World Rapid Chess Champion, titleDuration, usually held for one year until the next championship]
-
A.
contentDuration
Indicates the length of time for which the content runs or remains valid (e.g., its playback or availability duration).
-
B.
durationDepicted
Indicates that a representation (such as a media item or depiction) specifies or conveys the length of time over which an event, process, or state occurs.
-
C.
eraDuration
chosen
Indicates the length of time that a particular era or period spans.
-
D.
duración
Indicates the length of time or period over which something lasts or continues.
-
E.
lengthInMinutes
Indicates the duration of something expressed as a number of minutes.
- 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_69f348fb04e4819081f4eab040ed7959 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe91383a1c81909266e40c3c3ede6c |
completed | May 9, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69fe8fde094081908f0f121664fbb5c7 |
completed | May 9, 2026, 1:37 a.m. |
Created at: May 1, 2026, 12:17 a.m.