Triple
T12650864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FA Cup 2009–10 with Chelsea |
E302153
|
entity |
| Predicate | leagueAndCupDoubleWith |
P105999
|
FINISHED |
| Object | Premier League 2009–10 title |
—
|
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: Premier League 2009–10 title | Statement: [FA Cup 2009–10 with Chelsea, leagueAndCupDoubleWith, Premier League 2009–10 title]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leagueAndCupDoubleWith Context triple: [FA Cup 2009–10 with Chelsea, leagueAndCupDoubleWith, Premier League 2009–10 title]
-
A.
leagueOrCup
Indicates that one entity is a league or cup competition in which the other entity participates or is associated.
-
B.
leagueCup
Indicates that an entity is a cup-style competition organized within or by a specific league.
-
C.
includesLeague
Indicates that an entity (such as a competition, organization, or system) contains or encompasses a specific league as one of its components.
-
D.
league2
Indicates that an entity participates in, is a member of, or is otherwise affiliated with a specific sports league or competitive organization.
-
E.
leagueCupResult
Indicates the outcome or standing a team or participant achieved in a specific league cup competition.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69d960b78ce8819091f15dd5013e6da5 |
completed | April 10, 2026, 8:42 p.m. |
| PDg | Predicate description generation | batch_69d96179c7648190a05a13991d62bebb |
completed | April 10, 2026, 8:45 p.m. |
Created at: April 9, 2026, 5:18 p.m.