Triple
T26967401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MLS Cup 2008 |
E679206
|
entity |
| Predicate | wasFirstLeagueTitleFor |
P16057
|
FINISHED |
| Object | Columbus Crew |
—
|
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: Columbus Crew | Statement: [MLS Cup 2008, wasFirstLeagueTitleFor, Columbus Crew]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasFirstLeagueTitleFor Context triple: [MLS Cup 2008, wasFirstLeagueTitleFor, Columbus Crew]
-
A.
firstWinnerLeague
Indicates that an entity is the team or participant that won a particular league competition for the first time.
-
B.
winningTeamFirstTitle
chosen
Indicates that the winning team is achieving its first-ever title in the relevant competition or context.
-
C.
seasonChampionsFirstTitle
Indicates that the champions of a given season won their first-ever title in that season.
-
D.
wonLeagueTitle
Indicates that a team or individual finished a competition as champions, securing the league title for that season or tournament.
-
E.
numberOfLeagueTitles
Indicates the total count of league championship titles that an entity has won.
- 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_69eeeb4f3a448190b1e94b2d4776c16e |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f621222ea88190a58d686d3b4cc802 |
completed | May 2, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 6:36 a.m.