Triple
T4188350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2. Bundesliga |
E88368
|
entity |
| Predicate | mostCommonMatchDay |
P54540
|
FINISHED |
| Object | weekend |
—
|
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: weekend | Statement: [2. Bundesliga, mostCommonMatchDay, weekend]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostCommonMatchDay Context triple: [2. Bundesliga, mostCommonMatchDay, weekend]
-
A.
finalMatchDate
Indicates the calendar date on which the final or deciding match in a series, tournament, or competition takes place.
-
B.
matchupFrequency
Indicates how often a particular pair or set of entities are matched or paired against each other within a given context or timeframe.
-
C.
typicalMonthOfOccurrence
Indicates the month in which something most commonly or typically occurs.
-
D.
matchdayActivity
Indicates the specific activity, event, or engagement that takes place in connection with a particular match day.
-
E.
matchOf
Indicates that one entity is a specific match, counterpart, or corresponding instance of another entity within a defined context or set.
- 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_69aed9477e8c81908bcb862d2db55b1d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af04b009dc8190abda3f149a5b16fa |
completed | March 9, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69af01935064819096b7619f42e164dd |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af04af4e44819098a9d7f91e65adf2 |
completed | March 9, 2026, 5:34 p.m. |
Created at: March 9, 2026, 3:45 p.m.