Triple
T22915211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Golf Championships events |
E568716
|
entity |
| Predicate | numberOfEventsAtPeak |
P2438
|
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: [World Golf Championships events, numberOfEventsAtPeak, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfEventsAtPeak Context triple: [World Golf Championships events, numberOfEventsAtPeak, 4]
-
A.
numberOfLocationsAtPeak
Indicates the total count of distinct locations associated with an entity at its highest or peak point in time or activity.
-
B.
deploymentPeakNumber
Indicates the maximum number of deployments (or deployment instances) reached during a specified period or under given conditions.
-
C.
numberOfEvents
chosen
Indicates the quantity or count of events associated with a given entity or context.
-
D.
memberCountAtPeak
Indicates the highest number of members that an entity (such as a group or organization) has had at any point in time.
-
E.
numberOfEmployeesAtPeak
Indicates the highest recorded count of employees that an entity had at any point in time.
- 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18078077881908b8124cc22110c6e |
completed | April 29, 2026, 3:52 a.m. |
| PD | Predicate disambiguation | batch_69ef3b7c5fc081909ac50c5c8569cc19 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:42 p.m.