Triple
T15034825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Power Laps |
E378451
|
entity |
| Predicate | hasComparisonCriterion |
P116471
|
FINISHED |
| Object | shortest lap time is best |
—
|
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: shortest lap time is best | Statement: [Power Laps, hasComparisonCriterion, shortest lap time is best]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasComparisonCriterion Context triple: [Power Laps, hasComparisonCriterion, shortest lap time is best]
-
A.
hasQualityCriterion
Indicates that something is associated with a specific standard or criterion used to judge its quality.
-
B.
hasCriterionType
Indicates that something is associated with or classified by a specific type of criterion used for evaluation or decision-making.
-
C.
hasSubcriterion
Indicates that a criterion includes another, more specific criterion as a subordinate part of its evaluation structure.
-
D.
hasMemberCriteria
Indicates that a group, collection, or set is defined or constrained by specific criteria that its members must satisfy.
-
E.
compositionCriterion
Indicates the rule or standard by which components are selected, combined, or arranged to form a whole.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82b29948190acda49cbec3f927a |
completed | April 15, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69de9a67cbc481909c19c2de57de4eb7 |
completed | April 14, 2026, 7:50 p.m. |
| PDg | Predicate description generation | batch_69deb1a88d588190996afa8e5b32b552 |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:59 a.m.