Triple
T10071329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derby County Football Club |
E213635
|
entity |
| Predicate | numberOfEnglishLeagueTitles |
P63945
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Derby County Football Club, numberOfEnglishLeagueTitles, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfEnglishLeagueTitles Context triple: [Derby County Football Club, numberOfEnglishLeagueTitles, 2]
-
A.
numberOfLeagueTitles
chosen
Indicates the total count of league championship titles that an entity has won.
-
B.
LeagueCupTitles
Indicates the number of league cup championships an entity has won.
-
C.
PremierLeagueTitlesWithArsenal
Indicates that the subject has won the specified number of Premier League titles while playing for Arsenal.
-
D.
numberOfTropheeDesChampionsTitles
Indicates the number of Trophée des Champions titles that an entity has won.
-
E.
numberOfPremierDivisions
Indicates the count of premier divisions associated with or attributed to an entity.
- 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_69ca839add308190b57d53b4ec21f2d0 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd01279388190b94c8def00425c78 |
completed | April 2, 2026, 2:10 a.m. |
| PD | Predicate disambiguation | batch_69cd4b97870481908f7a89df10d58a9e |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 8:59 p.m.