Triple
T34881954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nationwide First Division |
E1006036
|
entity |
| Predicate | linkedToCup |
P197070
|
FINISHED |
| Object | FA Cup |
—
|
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: FA Cup | Statement: [Nationwide First Division, linkedToCup, FA Cup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedToCup Context triple: [Nationwide First Division, linkedToCup, FA Cup]
-
A.
partOfCup
Indicates that one entity is a physical component or constituent belonging to a cup.
-
B.
belongsToCup
Indicates that something is a component, content, or attribute of a specific cup, showing that it is associated with or contained by that cup.
-
C.
hasCupConnection
Indicates that there is a functional or physical connection involving a cup between the related entities.
-
D.
typeOfCup
Indicates the specific kind or category of cup that an entity is associated with or classified as.
-
E.
numberOfCups
Indicates the quantity of cups associated with a given entity or context.
- 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_69f76dbedb288190afe5780710847410 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fe766490c081908c49c8cc07d0ae9b |
completed | May 8, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69fe75bb5f4481908572a5ffcbdc5154 |
completed | May 8, 2026, 11:46 p.m. |
| PDg | Predicate description generation | batch_69fe7663b5bc81909524c40d3a172512 |
completed | May 8, 2026, 11:48 p.m. |
Created at: May 3, 2026, 4 p.m.