Triple
T4743338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glossop |
E105298
|
entity |
| Predicate | footballClubLevel |
P19888
|
FINISHED |
| Object | non-league football |
—
|
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: non-league football | Statement: [Glossop, footballClubLevel, non-league football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: footballClubLevel Context triple: [Glossop, footballClubLevel, non-league football]
-
A.
associationFootballClub
Indicates that the subject is an association football (soccer) club, i.e., an organized team entity that plays the sport of association football.
-
B.
sportsTeamLevel
Indicates the competitive tier or division in which a sports team participates within an organized league or system.
-
C.
levelInUEFASystem
Indicates the specific tier or division an entity occupies within the hierarchical structure of the UEFA football league system.
-
D.
tierInNationalFootball
chosen
Indicates the competitive level or division within a country's national football league system in which an entity (e.g., a club or team) participates.
-
E.
leagueLevelManaged
Indicates that an entity is responsible for managing or overseeing a particular competitive league level.
- 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_69bd43ef87a48190a5bc3600711aa032 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64a85e9c81908e9c7bbbb998953e |
completed | March 20, 2026, 3:15 p.m. |
| PD | Predicate disambiguation | batch_69bd6221c3b881908604f35f8de6f16b |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:19 p.m.