Triple
T13778977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IPC Swimming World Championships |
E331085
|
entity |
| Predicate | hasAntiDopingProgram |
P47076
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [IPC Swimming World Championships, hasAntiDopingProgram, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAntiDopingProgram Context triple: [IPC Swimming World Championships, hasAntiDopingProgram, yes]
-
A.
antiDopingControl
chosen
Indicates that an entity conducts, undergoes, or is associated with procedures to detect and prevent the use of prohibited performance-enhancing substances or methods.
-
B.
hasHealthProgram
Indicates that an entity provides, administers, or is associated with a specific health-related program or initiative.
-
C.
notableDopingCase
Indicates that an entity is recognized for being involved in a significant or widely known doping (use of banned performance-enhancing substances) incident or scandal.
-
D.
requiresDrugTesting
Indicates that one entity mandates another entity to undergo drug testing as a condition for participation, employment, access, or compliance.
-
E.
hasLeniencyProgram
Indicates that an entity offers or participates in a formal leniency program, typically reducing penalties or sanctions under specified conditions.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0239cbfc81909064ac2457fdfff5 |
completed | April 14, 2026, 9 a.m. |
| PD | Predicate disambiguation | batch_69dbbe97846c819093b00ea117b64e0d |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 10:11 p.m.