Triple
T3398102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yale Bulldogs women’s rowing |
E71578
|
entity |
| Predicate | hasBoatClass |
P11978
|
FINISHED |
| Object | varsity eight |
—
|
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: varsity eight | Statement: [Yale Bulldogs women’s rowing, hasBoatClass, varsity eight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBoatClass Context triple: [Yale Bulldogs women’s rowing, hasBoatClass, varsity eight]
-
A.
hasBoat
Indicates that one entity possesses, owns, or has control over a boat.
-
B.
hasBoatLine
Indicates that one entity operates, owns, or is associated with a particular boat service or boat route line.
-
C.
hasSailType
Indicates that an entity is characterized by or equipped with a specific type of sail.
-
D.
hullType
Indicates the specific structural design or configuration of an object's hull, typically classifying how its outer body or shell is shaped or constructed.
-
E.
hasVesselType
chosen
Indicates that an entity is associated with or classified by a specific type of vessel (e.g., ship, boat, or container).
- 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_69ad85a9c4a88190a854019341cb3b60 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb8c5816881909f91e6e9b81d29e3 |
completed | March 8, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69adadf705608190975423779430cc58 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:14 p.m.