Triple
T18318811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Native Trail |
E438815
|
entity |
| Predicate | ageAsLeadingJuvenileSeason |
P129771
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Native Trail, ageAsLeadingJuvenileSeason, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageAsLeadingJuvenileSeason Context triple: [Native Trail, ageAsLeadingJuvenileSeason, 2]
-
A.
ALCyYoungYear
Indicates that a player received the American League Cy Young Award in the specified year.
-
B.
hasJuniorAgeCategory
Indicates that an entity is associated with, or classified under, a junior age category within a given context or system.
-
C.
wasLeadingTwoYearOldIn
chosen
Indicates that an entity held the status of being the top or most successful two-year-old (e.g., in a sport or ranking) within a specified context or period.
-
D.
typicalAgeOfWinner
Indicates the age that is most commonly observed for entities that win a particular competition, award, or event.
-
E.
madeLeagueDebutAge
Indicates the age at which an entity first appeared in an official league match or competition.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aa342a881909afcd995405027af |
completed | April 19, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69e44fe4ee10819086b4142444fca1f5 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:36 a.m.