Triple
T31493095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hilary term |
E803458
|
entity |
| Predicate | isFollowedInSportsBy |
P172254
|
FINISHED |
| Object | Summer Eights preparation period |
—
|
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: Summer Eights preparation period | Statement: [Hilary term, isFollowedInSportsBy, Summer Eights preparation period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFollowedInSportsBy Context triple: [Hilary term, isFollowedInSportsBy, Summer Eights preparation period]
-
A.
fanOfSport
Indicates that a person supports, follows, or has a strong interest in a particular sport.
-
B.
knownForSports
Indicates that an entity is recognized or notable for its involvement, achievement, or association with sports.
-
C.
playsSameSportAs
Indicates that two entities participate in the same type of sport.
-
D.
relatedSport
Indicates that there is an association or connection between an entity and a particular sport.
-
E.
popularSport
Indicates that a sport is widely liked, followed, or played by many people within a certain group or region.
- 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_69f348ca04508190ba9379b5329dfd75 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a9603b208190b3533ea2b441514c |
completed | May 3, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69f6a7548eb48190a69b60a3c6ad53b9 |
completed | May 3, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f6a915ead881909463ae46419c343e |
completed | May 3, 2026, 1:47 a.m. |
Created at: April 30, 2026, 9:39 p.m.