Triple
T23598046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UEFA Cup 1997–98 with Inter Milan |
E582671
|
entity |
| Predicate | associatedSeasonOfClub |
P34950
|
FINISHED |
| Object | Inter Milan 1997–98 season |
—
|
NE NERFINISHED |
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: Inter Milan 1997–98 season | Statement: [UEFA Cup 1997–98 with Inter Milan, associatedSeasonOfClub, Inter Milan 1997–98 season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedSeasonOfClub Context triple: [UEFA Cup 1997–98 with Inter Milan, associatedSeasonOfClub, Inter Milan 1997–98 season]
-
A.
seasonOfClub
chosen
Indicates the specific season or time period during which a club participates in competitions or is active.
-
B.
leagueFoundedSeason
Indicates the season during which a particular league was established or founded.
-
C.
sportSeasonOf
Indicates that one entity is a sports season that belongs to, or is part of, the overall history or schedule of the specified sport.
-
D.
joinedLeagueInSeason
Indicates that an entity became a member of a particular league starting in a specified season.
-
E.
mostSeasonsClub
Indicates that a club holds the record for participating in the highest number of seasons within a given competition or 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_69e248f9e0a08190814772847003b1ff |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b091992c819085f8aa6cb91cb76a |
completed | April 29, 2026, 7:17 a.m. |
| PD | Predicate disambiguation | batch_69f118c96a0081908a8ac98ef7e7e60c |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:43 p.m.