Triple
T16180991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Constructors World Championship |
E392681
|
entity |
| Predicate | pointsSource |
P122031
|
FINISHED |
| Object | race results of each manufacturer |
—
|
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: race results of each manufacturer | Statement: [Constructors World Championship, pointsSource, race results of each manufacturer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pointsSource Context triple: [Constructors World Championship, pointsSource, race results of each manufacturer]
-
A.
pointSource
Indicates that an entity acts as a localized origin or emitter of some quantity (such as light, sound, or radiation) concentrated at a single point in space.
-
B.
numberOfPointSources
Indicates the total count of distinct point sources involved or present in a given context or system.
-
C.
points
Indicates that one entity directs attention, focus, or a physical/abstract indication toward another entity or location.
-
D.
pointDefinition
Indicates that one entity serves as the defining description or specification of a particular point in another entity.
-
E.
leafPoints
Indicates that one leaf or leaf-like structure is oriented or directed toward, or points at, another entity.
- 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_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. |
| PDg | Predicate description generation | batch_69e21e55a2388190b29a045a8c608ba4 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:02 a.m.