Triple
T13426352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rally New Zealand |
E313490
|
entity |
| Predicate | timekeepingStandard |
P33982
|
FINISHED |
| Object | special stage timed to 0.1 seconds |
—
|
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: special stage timed to 0.1 seconds | Statement: [Rally New Zealand, timekeepingStandard, special stage timed to 0.1 seconds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timekeepingStandard Context triple: [Rally New Zealand, timekeepingStandard, special stage timed to 0.1 seconds]
-
A.
timingStandard
Indicates that one entity specifies or conforms to the timing rules, constraints, or reference schedule defined by another entity.
-
B.
timekeepingAccuracy
chosen
Indicates how closely an entity’s measurement or tracking of time matches the true or standard reference time.
-
C.
timeScaleStandard
Indicates the standard or convention used to define, measure, or interpret the time scale associated with an event or process.
-
D.
standardTimeCounterpart
Indicates that one time representation is the corresponding value expressed in a standard or canonical time format for the other.
-
E.
relatedTimeStandard
Indicates that one time-related entity is defined, interpreted, or aligned according to a particular time standard or reference timescale.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaed1f9208190bf5ef5b8a7ded376 |
completed | April 12, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03926188190ab3948d1f5d3941f |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:40 p.m.