Triple
T1168678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abiodun Okulaja |
E24859
|
entity |
| Predicate | activityStartContext |
P24545
|
FINISHED |
| Object | professional soccer refereeing in the United States |
—
|
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: professional soccer refereeing in the United States | Statement: [Abiodun Okulaja, activityStartContext, professional soccer refereeing in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activityStartContext Context triple: [Abiodun Okulaja, activityStartContext, professional soccer refereeing in the United States]
-
A.
activityStartApprox
Indicates that the start time of an activity is known only approximately, rather than as an exact timestamp.
-
B.
exportActivity
Indicates an action where goods, services, or data are sent out from one entity or region to another for trade or distribution across borders.
-
C.
activityTime
Indicates the time period during which an activity occurs or is scheduled to take place.
-
D.
activityType
Indicates the specific kind or category of action or event that an entity is engaged in or associated with.
-
E.
activity
Indicates that an entity is engaged in or performing a particular action, behavior, or process.
- 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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bccef84481908864e819884af86c |
completed | March 1, 2026, 10:25 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5656948190b0b1d5446ad06005 |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bbd7ff1881908c943ecdfea59e81 |
completed | March 1, 2026, 10:21 p.m. |
Created at: March 1, 2026, 7:45 p.m.