Triple
T423543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MLS Cup 2014 |
E8155
|
entity |
| Predicate | wasLandonDonovansFinalMLSMatch |
P13598
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [MLS Cup 2014, wasLandonDonovansFinalMLSMatch, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasLandonDonovansFinalMLSMatch Context triple: [MLS Cup 2014, wasLandonDonovansFinalMLSMatch, true]
-
A.
wonMLS Cup
Indicates that the subject secured the championship title in Major League Soccer’s MLS Cup competition.
-
B.
lastGameDate
Indicates the date on which the most recent game involving the given entity took place.
-
C.
losingTeamFinalAppearancesCountForNewEnglandRevolution
Indicates the number of times the New England Revolution appeared in a final and ended up as the losing team.
-
D.
finalsLosingTeam
Indicates the team that was defeated in the final match of a competition or tournament.
-
E.
finalOpponentTeam
Indicates the team that serves as the last or ultimate opposing team faced in a competition, series, or event.
- 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.