Triple
T706241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St John’s College, Cambridge |
E14104
|
entity |
| Predicate | hasSportingFacilities |
P6792
|
FINISHED |
| Object | boathouse on the River Cam |
—
|
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: boathouse on the River Cam | Statement: [St John’s College, Cambridge, hasSportingFacilities, boathouse on the River Cam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSportingFacilities Context triple: [St John’s College, Cambridge, hasSportingFacilities, boathouse on the River Cam]
-
A.
hasRecreationFacility
chosen
Indicates that one entity provides, contains, or is equipped with a recreational facility for use by another entity or by the public.
-
B.
sportsFacility
Indicates that one entity is a sports facility where sports or physical activities can take place for the other entity.
-
C.
hasFacilities
Indicates that an entity possesses, provides, or is equipped with certain facilities or physical resources.
-
D.
hasMajorVenue
Indicates that an entity is associated with a primary or principal venue where its main activities or events take place.
-
E.
hasAthletics
Indicates that an entity participates in, is associated with, or offers athletics-related activities or programs.
- 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_69a493494ec48190ae6751683625a9ba |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a58d4c3c8190ad4527d14bca5e6e |
completed | March 1, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69a4a4edc33881909a978268f6dd5d82 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:36 p.m.