Triple
T8601731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1000 m speed skating at the 1998 Winter Olympics |
E203691
|
entity |
| Predicate | quadrennial |
P83804
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [1000 m speed skating at the 1998 Winter Olympics, quadrennial, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quadrennial Context triple: [1000 m speed skating at the 1998 Winter Olympics, quadrennial, true]
-
A.
quarter
Indicates that one entity divides another into four equal parts or assigns it to a specific fourth portion of a whole.
-
B.
decennial
Indicates that something occurs, is measured, or is defined with a frequency or interval of once every ten years.
-
C.
fourthQuarter
Indicates that an event, action, or state occurs during the fourth quarter of a defined time period (such as a fiscal year or sports game).
-
D.
quarterLength
Indicates that one entity specifies the length or duration of a quarter (e.g., a time period or segment) associated with another entity.
-
E.
fourthQuarterRepresents
Indicates that something corresponds to, summarizes, or is used as the representation of the fourth quarter period (e.g., in time, performance, or reporting).
- F. None of above. chosen
Provenance (4 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_69ca832b56948190ba751cec255308f1 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46da609881909a6d851915e8df14 |
completed | March 31, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cc454eb2908190acf0e4336bc67e7b |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc46c330bc8190a9b644078881c6ff |
completed | March 31, 2026, 10:12 p.m. |
Created at: March 30, 2026, 6:24 p.m.