Triple
T20813935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omega Dubai Ladies Masters |
E512385
|
entity |
| Predicate | roundsPerTournament |
P141923
|
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: [Omega Dubai Ladies Masters, roundsPerTournament, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roundsPerTournament Context triple: [Omega Dubai Ladies Masters, roundsPerTournament, 4]
-
A.
numberOfRoundsToWin
Indicates the number of rounds an entity must win in a competition or game to be declared the overall winner.
-
B.
numberOfTournaments
Indicates the total count of tournaments associated with or participated in by an entity.
-
C.
frequencyOfTournament
Indicates how often a particular tournament takes place within a given time period.
-
D.
numberOfRoundRobinGamesPerTeam
Indicates the number of games each team plays in a round-robin competition format.
-
E.
roundsStructure
Indicates that one entity defines or specifies the organization, sequence, or format of rounds within a process, event, or system.
- 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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2d4e43c8190aecce82a3f7e2de0 |
completed | April 21, 2026, 12:20 a.m. |
| PD | Predicate disambiguation | batch_69e5c99ca55481908e8d434fa901cfd6 |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53c4d6881909b4d0a716fa5ed4a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:40 p.m.