Triple
T23123503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Formula Ford |
E576961
|
entity |
| Predicate | targetCompetitorAge |
P38142
|
FINISHED |
| Object | teenage drivers |
—
|
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: teenage drivers | Statement: [Formula Ford, targetCompetitorAge, teenage drivers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetCompetitorAge Context triple: [Formula Ford, targetCompetitorAge, teenage drivers]
-
A.
ageRange
Indicates the span of ages within which an entity or relationship is considered valid or applicable.
-
B.
typicalAgeRangeOfPlayers
Indicates the usual age range of people who typically play or participate in something.
-
C.
containsAge
Indicates that one entity includes or specifies the age value or age-related information of another entity.
-
D.
attractsAgeGroup
chosen
Indicates that something tends to draw interest or appeal from people belonging to a particular age group.
-
E.
targetAgeGroupOfSubOrganization
Indicates that a sub-organization is specifically intended to serve or focus on a particular age group.
- 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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e5299c08190a578102cf2ff7080 |
completed | April 29, 2026, 4:51 a.m. |
| PD | Predicate disambiguation | batch_69ef89f020588190b43393e048e7eda3 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 3:59 p.m.