Triple
T16355839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Bowl |
E397175
|
entity |
| Predicate | gameNumbering |
P5842
|
FINISHED |
| Object | Roman numerals |
—
|
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: Roman numerals | Statement: [World Bowl, gameNumbering, Roman numerals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gameNumbering Context triple: [World Bowl, gameNumbering, Roman numerals]
-
A.
gameNumberInHistory
Indicates the position or sequence number of a particular game within a larger historical series or record of games.
-
B.
gameNumberInSeries
chosen
Indicates which numbered game within a series or sequence of games a particular game is.
-
C.
seasonNumber
Indicates the ordinal position of a season within a series or sequence of seasons.
-
D.
winningGameNumber
Indicates the specific game number in a series or sequence that results in a win for a given participant or side.
-
E.
categoryNumbering
Indicates that items within a category are assigned an ordered or structured numbering scheme that defines their position or sequence in that category.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2face3a54819099418edd0eecc963 |
completed | April 18, 2026, 3:30 a.m. |
| PD | Predicate disambiguation | batch_69e226f37ecc819082af58b29b4e39d1 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:07 a.m.