Triple
T8024970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Boat Race Company Limited |
E186830
|
entity |
| Predicate | frequencyOfMainEvent |
P29070
|
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: [The Boat Race Company Limited, frequencyOfMainEvent, annual]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frequencyOfMainEvent Context triple: [The Boat Race Company Limited, frequencyOfMainEvent, annual]
-
A.
numberOfMainEvents
Indicates the total count of primary or most significant events associated with a given entity or context.
-
B.
hasEventFrequency
chosen
Indicates how often a particular event occurs within a given time period.
-
C.
numberOfEvents
Indicates the quantity or count of events associated with a given entity or context.
-
D.
memorialEventFrequency
Indicates how often a memorial event occurs or is scheduled to take place.
-
E.
typicalEventDay
Indicates the day on which an event is normally or most commonly held or occurs.
- 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_69ca82ad4e2c8190a693e3c9e30fe66f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ec9983c8190b468c13f5b5beb63 |
completed | March 31, 2026, 3:26 a.m. |
| PD | Predicate disambiguation | batch_69cb049253d08190bafcecfde493ab8b |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:21 p.m.