Triple
T32752960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulster Senior Football Championship |
E837545
|
entity |
| Predicate | currentTitleHolders |
P113994
|
FINISHED |
| Object | Donegal |
—
|
NE NERFINISHED |
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: Donegal | Statement: [Ulster Senior Football Championship, currentTitleHolders, Donegal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentTitleHolders Context triple: [Ulster Senior Football Championship, currentTitleHolders, Donegal]
-
A.
titleHolders
chosen
Indicates that one or more entities currently or formerly hold a specified title, position, or honor.
-
B.
numberOfTitlesHeldByRecordHolders
Indicates the total count of titles held by the entities that are recognized as record holders.
-
C.
recordHolderMostTitles
Indicates that one entity holds the highest number of titles (e.g., championships, awards, or similar distinctions) compared to all other entities in a given context.
-
D.
runnerUpMostTitles
Indicates that an entity holds the record for having the highest number of runner-up finishes or second-place titles in a given competition or context.
-
E.
mastersTitles
Indicates that one entity holds one or more master's degree titles associated with another entity (such as an institution, field, or program).
- 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_69f34937f97c8190b7f84bea045df3ae |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fed6da0390819096b88ef4714b144e |
completed | May 9, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69fed53517d081909966f31707625f1a |
completed | May 9, 2026, 6:33 a.m. |
Created at: May 1, 2026, 1:12 a.m.