Triple
T38682776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Windsor Boys' School Boat Club |
E949032
|
entity |
| Predicate | rowersAgeCategory |
P191523
|
FINISHED |
| Object | junior |
—
|
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: junior | Statement: [The Windsor Boys' School Boat Club, rowersAgeCategory, junior]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rowersAgeCategory Context triple: [The Windsor Boys' School Boat Club, rowersAgeCategory, junior]
-
A.
rowerLevel
Indicates the proficiency or skill level associated with a rower in the context of rowing activities or performance.
-
B.
isRowingCompanionOf
Indicates that one entity accompanies another in the activity of rowing, typically sharing a boat or rowing effort together.
-
C.
rowerPosition
Indicates the specific seat or placement a rower occupies within a rowing boat or crew lineup.
-
D.
typeOfRower
Indicates that one entity is a specific kind or category of rower in relation to another entity.
-
E.
hasRowingSide
Indicates that an entity involved in rowing is associated with a specific side (e.g., port or starboard) on which it rows.
- 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_69f76efe16148190befd5dd59c3dfeaa |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
| PDg | Predicate description generation | batch_69fcdfbafbf48190abe38ec0003a6419 |
completed | May 7, 2026, 6:53 p.m. |
Created at: May 3, 2026, 4:33 p.m.