Triple
T12244564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FedEx Cup Playoffs |
E291818
|
entity |
| Predicate | previousNumberOfEvents |
P103697
|
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: [FedEx Cup Playoffs, previousNumberOfEvents, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousNumberOfEvents Context triple: [FedEx Cup Playoffs, previousNumberOfEvents, 4]
-
A.
numberOfEvents
Indicates the quantity or count of events associated with a given entity or context.
-
B.
hasPrecedingEvents
Indicates that one or more events occurred earlier in time or sequence relative to the referenced event.
-
C.
previousNumberOfSeats
Indicates the number of seats an entity had before a change or update in its seating count.
-
D.
lastRecordedEvent
Indicates the most recent event that has been recorded for a given entity or context.
-
E.
previousNumberOfMembers
Indicates the number of members an entity had at an earlier or prior point in time.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d38ee10819093ed41d2954bf4ef |
completed | April 10, 2026, 3:54 p.m. |
| PD | Predicate disambiguation | batch_69d91c46dcd88190a263db30804bff36 |
completed | April 10, 2026, 3:50 p.m. |
| PDg | Predicate description generation | batch_69d91d3654208190a2e0487dfa1d54da |
completed | April 10, 2026, 3:54 p.m. |
Created at: April 8, 2026, 9:51 p.m.