Triple
T3147926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Slam tennis tournaments |
E65806
|
entity |
| Predicate | calendarFrequency |
P16303
|
FINISHED |
| Object | annual |
—
|
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: annual | Statement: [Grand Slam tennis tournaments, calendarFrequency, annual]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: calendarFrequency Context triple: [Grand Slam tennis tournaments, calendarFrequency, annual]
-
A.
payFrequency
Indicates how often a payment or series of payments is made within a given time period.
-
B.
meetingFrequency
Indicates how often a meeting or recurring gathering takes place over a given period.
-
C.
recurringEvent
chosen
Indicates that an event occurs repeatedly over time according to some regular pattern or schedule.
-
D.
calendarType
Indicates the type or system of calendar associated with an entity (e.g., Gregorian, lunar, fiscal).
-
E.
laterFrequency
Indicates that one event, state, or action occurs with a lower frequency than another in a temporal sequence.
- 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_69ad8584485081909ed529e890cadc4a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada59a54188190a2e020fd4004d734 |
completed | March 8, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfa3d9081908425aa636bb9b897 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:05 p.m.