Triple
T2604336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Littlewoods Cup |
E58621
|
entity |
| Predicate | usedAsNameUntilSeason |
P25649
|
FINISHED |
| Object | 1989–90 |
—
|
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: 1989–90 | Statement: [Littlewoods Cup, usedAsNameUntilSeason, 1989–90]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsNameUntilSeason Context triple: [Littlewoods Cup, usedAsNameUntilSeason, 1989–90]
-
A.
previousNameUsedUntil
chosen
Indicates that a particular name was used for an entity up to (but not necessarily including) a specified end date or time.
-
B.
nameUsedIn
Indicates that a particular name is employed or referenced within a specified context, work, or usage setting.
-
C.
originalNameUsedInYears
Indicates that a particular original name was in use for an entity during a specified range of years.
-
D.
usedAsFirstNameOf
Indicates that one entity functions as the given or first name of another entity.
-
E.
currentNameUsedFrom
Indicates that an entity’s currently used name has been in effect starting from a specified point in time or source.
- 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_69ab4ac3523881909679750c9f8c2dec |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8def9bc8190b2e013abffc7b191 |
completed | March 7, 2026, 7:50 a.m. |
| PD | Predicate disambiguation | batch_69abd80ab7248190ba06ba14fe4c5638 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:49 p.m.