Triple
T12650866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FA Cup 2009–10 with Chelsea |
E302153
|
entity |
| Predicate | consecutiveFAcupTitlesForChelsea |
P106001
|
FINISHED |
| Object | second consecutive |
—
|
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: second consecutive | Statement: [FA Cup 2009–10 with Chelsea, consecutiveFAcupTitlesForChelsea, second consecutive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consecutiveFAcupTitlesForChelsea Context triple: [FA Cup 2009–10 with Chelsea, consecutiveFAcupTitlesForChelsea, second consecutive]
-
A.
consecutiveLeagueTitles
Indicates that one entity has won league titles in successive seasons without interruption.
-
B.
numberOfTitlesOfChelsea
Indicates the total count of titles that Chelsea has won.
-
C.
consecutiveLeagueTitlesPeriod
Indicates a time span during which a team or entity wins league titles in consecutive seasons without interruption.
-
D.
consecutiveTitlesForChampion
Indicates that a champion has won multiple titles in succession without interruption.
-
E.
numberOfTropheeDesChampionsTitles
Indicates the number of Trophée des Champions titles that an entity has won.
- 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.