Triple
T18250069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chelsea 2004–05 Premier League title-winning season |
E437065
|
entity |
| Predicate | firstLeagueTitleInYears |
P84185
|
FINISHED |
| Object | 50 |
—
|
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: 50 | Statement: [Chelsea 2004–05 Premier League title-winning season, firstLeagueTitleInYears, 50]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstLeagueTitleInYears Context triple: [Chelsea 2004–05 Premier League title-winning season, firstLeagueTitleInYears, 50]
-
A.
firstLeagueTitleSeason
chosen
Indicates the season in which an entity (typically a sports team) won its first league title.
-
B.
startYearUnderNameFootballLeagueChampionship
Indicates the year in which a football league championship began operating under its current name.
-
C.
seasonChampionsFirstTitle
Indicates that the champions of a given season won their first-ever title in that season.
-
D.
firstSeasonChampions
Indicates that the subject entity won the championship in the first season of the relevant competition or series.
-
E.
firstALeagueSeason
Indicates that the referenced season is the first season in which the entity participated in the A-League.
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd8065b08190ae8d37102141f470 |
completed | April 19, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69e44fcdee748190bae6fb76e0cb22f3 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:33 a.m.