Triple
T18977921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varsity Eight |
E464344
|
entity |
| Predicate | isFlagshipBoatFor |
P36594
|
FINISHED |
| Object | many college rowing teams |
—
|
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: many college rowing teams | Statement: [Varsity Eight, isFlagshipBoatFor, many college rowing teams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFlagshipBoatFor Context triple: [Varsity Eight, isFlagshipBoatFor, many college rowing teams]
-
A.
isBoatingLandmark
Indicates that a location serves as a notable reference point or feature specifically used for boating navigation or activities.
-
B.
hasSailType
Indicates that an entity is characterized by or equipped with a specific type of sail.
-
C.
isFlagshipServiceOf
Indicates that a particular service is the primary, leading, or most prominent offering of a given organization or provider.
-
D.
flagshipType
chosen
Indicates that one entity is the primary or most important representative (flagship) of a particular type, category, or group defined by the other entity.
-
E.
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.
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d620bba48190a300dba9733592b0 |
completed | April 20, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f437648190b85650dae8885d48 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, noon