Triple
T32178622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3M Open |
E821922
|
entity |
| Predicate | previousEventName |
P197525
|
FINISHED |
| Object | 3M Championship |
—
|
NE NERFINISHED |
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: 3M Championship | Statement: [3M Open, previousEventName, 3M Championship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousEventName Context triple: [3M Open, previousEventName, 3M Championship]
-
A.
previousEventYear
Indicates that one event occurred in a year that is earlier than the year of another event.
-
B.
previousStateName
Indicates the name of the state that immediately preceded the current state in a process or state transition.
-
C.
previousNumberOfEvents
Indicates the count of events that occurred before a specified point or reference event.
-
D.
previousRecord
Indicates that one record directly precedes another in an ordered sequence of records.
-
E.
previousDatum
Indicates that one datum directly precedes another in an ordered sequence or collection.
- 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_69f3490755288190aee11740a34862f9 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe991bca608190b524e419642f4243 |
completed | May 9, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69fe979fc1c4819091fc48d63ea12063 |
completed | May 9, 2026, 2:10 a.m. |
| PDg | Predicate description generation | batch_69fe991abc6c81908edbb98d61c9ca73 |
completed | May 9, 2026, 2:16 a.m. |
Created at: May 1, 2026, 12:34 a.m.