Triple
T423532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MLS Cup 2014 |
E8155
|
entity |
| Predicate | awayTeamPreviousMLS CupFinalAppearances |
P13596
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [MLS Cup 2014, awayTeamPreviousMLS CupFinalAppearances, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awayTeamPreviousMLS CupFinalAppearances Context triple: [MLS Cup 2014, awayTeamPreviousMLS CupFinalAppearances, 4]
-
A.
losingTeamFinalAppearancesCountForNewEnglandRevolution
Indicates the number of times the New England Revolution appeared in a final and ended up as the losing team.
-
B.
wonMLS Cup
Indicates that the subject secured the championship title in Major League Soccer’s MLS Cup competition.
-
C.
firstSeasonBothClubsInMLS
Indicates the season in which both clubs were simultaneously competing in Major League Soccer (MLS) for the first time.
-
D.
team1LaterKnownAs
Indicates that the first team was later renamed to or became known by the identity of the second team.
-
E.
previousTeamNamesAlsoAssociatedWithFranchise
Indicates that the earlier team names are also historically or officially linked to the same franchise.
- 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_69a2e7f1d1bc81909cf2dc9754a3c334 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eec200648190bcb9f1b98c8e9cdf |
completed | Feb. 28, 2026, 1:33 p.m. |
| PD | Predicate disambiguation | batch_69a2edd5439c8190aea661b8b4aa51e9 |
completed | Feb. 28, 2026, 1:29 p.m. |
| PDg | Predicate description generation | batch_69a2ee8b56d08190bd625626353d01b4 |
completed | Feb. 28, 2026, 1:32 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.