Triple
T3348880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2017 UEFA Champions League Final |
E70440
|
entity |
| Predicate | matchday |
P44508
|
FINISHED |
| Object | Saturday |
—
|
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: Saturday | Statement: [2017 UEFA Champions League Final, matchday, Saturday]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: matchday Context triple: [2017 UEFA Champions League Final, matchday, Saturday]
-
A.
matchdayActivity
chosen
Indicates the specific activity, event, or engagement that takes place in connection with a particular match day.
-
B.
matchOf
Indicates that one entity is a specific match, counterpart, or corresponding instance of another entity within a defined context or set.
-
C.
notableMatch
Indicates that there exists a particularly significant or noteworthy match or pairing between the related entities.
-
D.
finalMatchDate
Indicates the calendar date on which the final or deciding match in a series, tournament, or competition takes place.
-
E.
scoredInMatch
Indicates that an entity (typically a player or team) scored during a particular match.
- 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_69ad85a4ef7c8190a29e2bbd6fa454e4 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb21dc7c08190bc18adff8ac5eca2 |
completed | March 8, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69ada42df1d48190874bb05f95deefde |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:12 p.m.